Rapid Deployment: Application Guide of Go WaitGroup in Golang Projects
Quick Deployment: Go WaitGroup Application Guide in Golang Projects
Introduction:
In concurrent programming, it is common to wait for all goroutines to complete their tasks Task. Go WaitGroup is a powerful tool in Golang for this purpose. This article will introduce the basic concepts of Go WaitGroup and provide some specific code examples to help readers quickly deploy and apply WaitGroup in Golang projects.
1. What is WaitGroup?
WaitGroup is a concurrency primitive in Golang, which is used to wait for a group of goroutines to complete tasks. It mainly provides three methods:
- Add: Add a waiting goroutine to WaitGroup.
- Done: Marks a waiting goroutine task as completed.
- Wait: Wait for all pending goroutines to complete their tasks.
Through the combined use of these three methods, we can easily wait for all goroutine tasks to be completed and then perform subsequent operations.
2. Code examples:
In order to better understand the usage and application scenarios of WaitGroup, two specific code examples will be given below.
Example 1:
In this example, we use WaitGroup to wait for a group of goroutines to complete execution.
package main import ( "fmt" "sync" ) func worker(id int, wg *sync.WaitGroup) { defer wg.Done() fmt.Printf("Worker %d starting ", id) // 模拟一些耗时的操作 for i := 0; i < 5; i++ { fmt.Printf("Worker %d working... ", id) } fmt.Printf("Worker %d finished ", id) } func main() { var wg sync.WaitGroup for i := 1; i <= 5; i++ { wg.Add(1) go worker(i, &wg) } wg.Wait() fmt.Println("All workers finished") }
In the above code, we define a worker function to simulate some time-consuming operations. In the main function, we use a loop to create 5 goroutines, and add the waiting goroutine to the WaitGroup by calling wg.Add(1). Then, after each goroutine completes its task, it marks the task as completed by calling wg.Done(). Finally, call wg.Wait() in the main function to wait for all goroutines to complete, and then output "All workers finished".
Example 2:
In this example, we use WaitGroup and channel to implement the main goroutine to wait for all child goroutines to complete the task and aggregate the results.
package main import ( "fmt" "sync" ) func worker(id int, wg *sync.WaitGroup, result chan<- int) { defer wg.Done() fmt.Printf("Worker %d starting ", id) // 模拟一些耗时的操作 sum := 0 for i := 0; i < 5; i++ { sum += i } fmt.Printf("Worker %d finished, result: %d ", id, sum) result <- sum } func main() { var wg sync.WaitGroup result := make(chan int, 5) for i := 1; i <= 5; i++ { wg.Add(1) go worker(i, &wg, result) } wg.Wait() close(result) total := 0 for r := range result { total += r } fmt.Printf("All workers finished, total result: %d ", total) }
In the above code, we pass each goroutine calculation result back to the main goroutine through the channel in the worker function, and finally summarize all results in the main goroutine. By using the combination of WaitGroup and channel, we can more flexibly implement goroutine task waiting and result summary.
3. Summary:
Go WaitGroup is an important tool for implementing concurrent task waiting in Golang. This article gives two specific code examples to help readers quickly understand and deploy the application of WaitGroup in Golang projects. I hope readers can make full use of this powerful tool to improve the concurrency performance and reliability of the project.
The above is the detailed content of Rapid Deployment: Application Guide of Go WaitGroup in Golang Projects. For more information, please follow other related articles on the PHP Chinese website!

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.

Golang and C each have their own advantages in performance efficiency. 1) Golang improves efficiency through goroutine and garbage collection, but may introduce pause time. 2) C realizes high performance through manual memory management and optimization, but developers need to deal with memory leaks and other issues. When choosing, you need to consider project requirements and team technology stack.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

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.

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

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.


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

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 English version
Recommended: Win version, supports code prompts!

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