


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!

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



OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

The article explains how to use the pprof tool for analyzing Go performance, including enabling profiling, collecting data, and identifying common bottlenecks like CPU and memory issues.Character count: 159

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

The article discusses the go fmt command in Go programming, which formats code to adhere to official style guidelines. It highlights the importance of go fmt for maintaining code consistency, readability, and reducing style debates. Best practices fo

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...
