


I sometimes run into this problem after running it again and again. I know this is related to counters. It throws this error when the done() method of sync.waitgroup is called more times than the add() method is called.
how to solve this problem?
My code creates batches of size 4 and does some processing on each batch, but I'm having trouble resolving this panic.
package main import ( "fmt" "sync" ) func main() { // create input channel input := make(chan int) // create wait group var wg sync.waitgroup // start batcher goroutine wg.add(1) go batcher(input, &wg) // send input values to the batcher for i := 1; i <= 10; i++ { input <- i } // close input channel close(input) // wait for batcher goroutine to finish wg.wait() } func batcher(input chan int, wg *sync.waitgroup) { // create batch channel with buffer of size 4 batch := make(chan int, 4) // create channel to synchronize worker goroutines done := make(chan bool) // create wait group for worker goroutines var workerwg sync.waitgroup // start worker goroutines for i := 0; i < 4; i++ { workerwg.add(1) go worker(batch, &workerwg, done) } // read input values and send to batch for value := range input { batch <- value if len(batch) == 4 { // wait for worker goroutines to finish processing batch workerwg.wait() // send batch to worker goroutines for i := 0; i < 4; i++ { workerwg.add(1) go sendbatch(batch, &workerwg, done) } } } // wait for worker goroutines to finish processing remaining batch workerwg.wait() // close done channel to notify that all batches have been processed close(done) wg.done() } func sendbatch(batch chan int, workerwg *sync.waitgroup, done chan bool) { // process batch for value := range batch { fmt.println("processing value:", value) } // notify worker goroutines that batch has been processed workerwg.done() select { case done <- true: default: // done channel has been closed } } func worker(batch chan int, workerwg *sync.waitgroup, done chan bool) { // process batches received from batch channel for batch := range batch { // process batch fmt.println("processing batch:", batch) workerwg.done() } // notify batcher goroutine that worker goroutine has finished select { case done <- true: default: // done channel has been closed } }
Basic code for writing batch programs:
package main import ( "fmt" "sync" ) func main() { input := make(chan int) output := make(chan []int) var wg sync.waitgroup wg.add(2) // start the batcher goroutine go func() { batch := []int{} for value := range input { batch = append(batch, value) if len(batch) == 4 { output <- batch batch = []int{} } } if len(batch) > 0 { output <- batch } close(output) wg.done() }() // start the worker goroutine go func() { for batch := range output { sum := 0 for _, value := range batch { sum += value } fmt.printf("sum of batch %v: %d\n", batch, sum) } wg.done() }() // send input values to the batcher for _, v := range []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10} { input <- v } close(input) // wait for both goroutines to finish wg.wait() }
Sum of batch [1 2 3 4]: 10 Sum of batch [5 6 7 8]: 26 Sum of batch [9 10]: 19
The early design is a bit complex, I will try to expand on this basic design.
Correct answer
According to this code:
for i := 0; i < 4; i++ { workerwg.add(1) go worker(batch, &workerwg, done) }
I think workerwg.done()
should be moved outside the loop:
func worker(batch chan int, workerWg *sync.WaitGroup, done chan bool) { + defer workerWg.Done() // process batches received from batch channel for batch := range batch { // process batch fmt.Println("Processing batch:", batch) - workerWg.Done() } // notify batcher goroutine that worker goroutine has finished select { case done <- true: default: // done channel has been closed } }
But batch
is not closed in the demo. So in effect, the goroutine will run forever until the program ends.
I don’t know if there are any other questions. The design is too complicated. Complex code is difficult to understand and error-prone. Consider redesigning it.
The above is the detailed content of How to fix this issue: Panic: Synchronization: Negative WaitGroup counter. 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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Dreamweaver CS6
Visual web development tools

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Notepad++7.3.1
Easy-to-use and free code editor