Where Should You Place `wg.Add()` in Concurrent Go Programs?
Understanding the Placement of wg.Add()
In concurrent Go programs, the sync.WaitGroup type serves as a synchronization primitive to coordinate the completion of tasks. When working with a WaitGroup, where you place the wg.Add() call is critical for ensuring proper wait behavior.
Consider the following code:
<code class="go">var wg sync.WaitGroup var v int32 = 0 for i := 0; i < 100; i++ { go func() { wg.Add(1) // wrong place atomic.AddInt32(&v, 1) wg.Done() }() } wg.Wait() fmt.Println(v)</code>
This code intends to parallelize a series of tasks and increment a shared variable v concurrently. However, the output often results in values less than 100. The issue lies in the placement of wg.Add(1) within the anonymous goroutine.
By placing wg.Add(1) within the goroutine, the main goroutine may resume execution before wg.Done() is called. This could occur because the concurrency model allows both the wg.Add(1) call and wg.Done() call to execute concurrently, potentially leading to premature termination of the wait in the main goroutine.
To resolve this issue, the wg.Add(1) call should be moved outside the goroutine, as shown below:
<code class="go">var wg sync.WaitGroup var v int32 = 0 for i := 0; i < 100; i++ { wg.Add(1) go func() { atomic.AddInt32(&v, 1) wg.Done() }() } wg.Wait() fmt.Println(v)</code>
By moving wg.Add(1) outside the goroutine, we ensure that the main goroutine will block on the wg.Wait() call until all goroutines have completed and called wg.Done(). This guarantees that the final value of v is accurate.
As a general practice, it is recommended to always call wg.Add() before launching a goroutine that will call wg.Done(). This ensures proper wait behavior and eliminates any race conditions that may arise.
The above is the detailed content of Where Should You Place `wg.Add()` in Concurrent Go Programs?. 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,...

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

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

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...

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