Home  >  Article  >  Backend Development  >  How to Avoid Deadlock When Using Goroutines to Process Values and Gather Results into a Slice?

How to Avoid Deadlock When Using Goroutines to Process Values and Gather Results into a Slice?

DDD
DDDOriginal
2024-11-06 17:56:02969browse

How to Avoid Deadlock When Using Goroutines to Process Values and Gather Results into a Slice?

Using Goroutines to Efficiently Process Values and Gather Results into a Slice

The utilization of goroutines can be a transformative element in Go programming, enabling concurrent task execution and efficient processing. However, proper implementation is crucial to avoid potential pitfalls.

Problem:

When attempting to employ goroutines in a codebase, a "fatal error: all goroutines are asleep - deadlock!" arises. The aim is to process values in a list concurrently, subsequently accumulating the processed results into a new list. Difficulty, however, emerges in the accumulation phase.

Code Decomposition:

The provided code snippet includes several essential elements:

// Process each item with a goroutine and send output to sampleChan
go newSample(line, *replicatePtr, *timePtr, sampleChan, &wg)
  • This goroutine concurrently processes the data and sends the outcome to a channel named sampleChan.
// Read from sampleChan and put into a slice
for s := range sampleChan {
    sampleList = append(sampleList, s)
}
close(sampleChan)
  • The code attempts to gather results from the channel and incorporate them into a slice.

Solution:

The errors are caused by two issues: premature waiting for worker completion and improper channel closure timing. The following modifications resolve these issues:

go func() {
    wg.Wait()
    close(sampleChan)
}()
  • Postpone channel closure until after workers have finished by initiating a separate goroutine.

Additionally, for stylistic cohesion, consider restructuring newSample as a synchronous function for result production, resulting in the following code:

for i, line := range contents {
    wg.Add(1)
    go func(line string) {
        defer wg.Done()
        sampleChan <- newSample(line, *replicatePtr, *timePtr)
    }(line)
}

This revised approach improves code readability, eases testing, and simplifies concurrency management, enabling clear identification of critical operations like wg.Done().

The above is the detailed content of How to Avoid Deadlock When Using Goroutines to Process Values and Gather Results into a Slice?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn