Why Aren\'t My Goroutines Running on Windows?
Goroutines Not Running on Windows: Understanding the Issue
In the realm of Go programming, goroutines offer a powerful mechanism for concurrency. However, certain users have encountered an unexpected behavior on Windows systems, where apparently simple goroutines fail to execute.
To address this puzzling issue, let's delve into the provided code snippet:
<code class="go">package main import ( "fmt" ) func test() { fmt.Println("test") } func main() { go test() }</code>
While one might anticipate "test" to grace their terminal, silence prevails. This absence of both a message and an error message can leave developers scratching their heads.
The key to resolving this mystery lies in the asynchronous nature of GOROUTINE execution. Unlike traditional threads, goroutines do not block the program's main execution. Consequently, the program proceeds without awaiting the completion of the invoked function.
To remedy this situation, mechanisms must be employed to provide the necessary wait for goroutines to execute.
Solution: Guaranteeing Goroutine Execution
One approach involves leveraging the Go statement:
<code class="go">time.Sleep(10 * time.Second)</code>
By introducing this statement following the invocation of the goroutine, we effectively suspend the program execution for 10 seconds, thus granting ample time for the goroutine to execute its task.
An alternative solution entails using sync.WaitGroup:
<code class="go">import ( "sync" ) func main() { wg := new(sync.WaitGroup) wg.Add(1) go func() { fmt.Println("test") wg.Done() // Signal completion of the function }() wg.Wait() }</code>
In this example, the sync.WaitGroup object ensures that the main goroutine awaits the completion of all child goroutines before proceeding.
By adopting these techniques, we can effectively address the issue of non-executing goroutines on Windows.
The above is the detailed content of Why Aren\'t My Goroutines Running on Windows?. 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





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

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. �...

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,...

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

The difference between string printing in Go language: The difference in the effect of using Println and string() functions is in Go...

The problem of using RedisStream to implement message queues in Go language is using Go language and Redis...

Under the BeegoORM framework, how to specify the database associated with the model? Many Beego projects require multiple databases to be operated simultaneously. When using Beego...
