Golang function communication pipeline timeout processing strategy
When using pipelines for communication, in order to prevent the pipeline receiver from being blocked all the time, Golang provides two timeout processing strategies: use Context to set time limits or use select to listen to multiple pipelines. When the pipeline receiver does not receive data, these two All strategies will time out.
Golang function communication pipeline timeout processing strategy
Pipelines are a common way of inter-process communication in Golang. However, when the receiving end of the pipeline cannot receive data, it will block forever. To prevent this blocking, we can use a piped receive operation with a timeout.
Timeout processing strategy
There are two main timeout processing strategies:
- Use Context:Use context .Context type, we can set a time limit. If no data is received within this time limit, the operation will time out.
- Use select: Using the select statement, we can listen to multiple pipes at the same time. When the pipeline receiver does not receive data, select will time out.
Practical case
The following is an example of a pipeline receiving operation using the Context timeout processing strategy:
package main import ( "context" "fmt" "log" "sync/atomic" "time" ) func main() { // 创建一个管道 ch := make(chan int) ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second) defer cancel() // 并发地将数据发送到管道 go func() { for i := 0; i < 10; i++ { ch <- i } }() // 使用 Context 超时接收数据 go func() { var total uint64 for { select { case <-ctx.Done(): fmt.Println("Timeout reached!") return case value := <-ch: total += uint64(value) } } }() log.Printf("Total: %d", total) }
Using the select timeout processing strategy Pipe receive operation example:
package main import ( "fmt" "log" "sync/atomic" "time" ) func main() { // 创建一个管道 ch := make(chan int) // 创建一个 select 语句来监听管道和超时 var total uint64 go func() { for { select { case value := <-ch: total += uint64(value) case <-time.After(5 * time.Second): fmt.Println("Timeout reached!") return } } }() // 并发地将数据发送到管道 go func() { for i := 0; i < 10; i++ { ch <- i } }() log.Printf("Total: %d", total) }
The above is the detailed content of Golang function communication pipeline timeout processing strategy. 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

AI Hentai Generator
Generate AI Hentai for free.

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



Reading and writing files safely in Go is crucial. Guidelines include: Checking file permissions Closing files using defer Validating file paths Using context timeouts Following these guidelines ensures the security of your data and the robustness of your application.

How to configure connection pooling for Go database connections? Use the DB type in the database/sql package to create a database connection; set MaxOpenConns to control the maximum number of concurrent connections; set MaxIdleConns to set the maximum number of idle connections; set ConnMaxLifetime to control the maximum life cycle of the connection.

The Go framework stands out due to its high performance and concurrency advantages, but it also has some disadvantages, such as being relatively new, having a small developer ecosystem, and lacking some features. Additionally, rapid changes and learning curves can vary from framework to framework. The Gin framework is a popular choice for building RESTful APIs due to its efficient routing, built-in JSON support, and powerful error handling.

The difference between the GoLang framework and the Go framework is reflected in the internal architecture and external features. The GoLang framework is based on the Go standard library and extends its functionality, while the Go framework consists of independent libraries to achieve specific purposes. The GoLang framework is more flexible and the Go framework is easier to use. The GoLang framework has a slight advantage in performance, and the Go framework is more scalable. Case: gin-gonic (Go framework) is used to build REST API, while Echo (GoLang framework) is used to build web applications.

Best practices: Create custom errors using well-defined error types (errors package) Provide more details Log errors appropriately Propagate errors correctly and avoid hiding or suppressing Wrap errors as needed to add context

JSON data can be saved into a MySQL database by using the gjson library or the json.Unmarshal function. The gjson library provides convenience methods to parse JSON fields, and the json.Unmarshal function requires a target type pointer to unmarshal JSON data. Both methods require preparing SQL statements and performing insert operations to persist the data into the database.

How to address common security issues in the Go framework With the widespread adoption of the Go framework in web development, ensuring its security is crucial. The following is a practical guide to solving common security problems, with sample code: 1. SQL Injection Use prepared statements or parameterized queries to prevent SQL injection attacks. For example: constquery="SELECT*FROMusersWHEREusername=?"stmt,err:=db.Prepare(query)iferr!=nil{//Handleerror}err=stmt.QueryR

The FindStringSubmatch function finds the first substring matched by a regular expression: the function returns a slice containing the matching substring, with the first element being the entire matched string and subsequent elements being individual substrings. Code example: regexp.FindStringSubmatch(text,pattern) returns a slice of matching substrings. Practical case: It can be used to match the domain name in the email address, for example: email:="user@example.com", pattern:=@([^\s]+)$ to get the domain name match[1].
