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How to Avoid Deadlocks When Gathering Results from Goroutines in Go?

Mary-Kate Olsen
Release: 2024-11-07 12:56:03
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How to Avoid Deadlocks When Gathering Results from Goroutines in Go?

Using Goroutines to Process Values and Gather Results into a Slice

Goroutines are a fundamental concept in Go for concurrent programming. They allow you to execute multiple tasks concurrently without blocking the main thread. However, using goroutines can be tricky, especially when it comes to gathering results from multiple goroutines.

Problem Statement

A developer attempted to use goroutines to process a list of items and collect the processed values into a slice. However, they encountered the dreaded "all goroutines are asleep - deadlock!" error.

Root Cause of the Deadlock

The deadlock occurred because the code was waiting for all the goroutines to finish processing before attempting to collect the results. This created a situation where the goroutines were waiting for the slice to be available to write to, while the main thread was waiting for the goroutines to finish processing.

Solution

To resolve the deadlock, it is necessary to introduce asynchronous closing of the channel used to communicate between the goroutines and the main thread. The modified code below shows the solution:

// ...

// Create a channel to receive the processed values
sampleChan := make(chan sample)

var wg sync.WaitGroup

// Process each item in the list with a goroutine
for i, line := range contents {
    wg.Add(1)
    go func(line string) {
        defer wg.Done()
        // Process the item and send the result on the channel
        sampleChan <- newSample(line, *replicatePtr, *timePtr)
    }(line)
}

// Asyncronously close the channel when all goroutines are done
go func() {
    wg.Wait()
    close(sampleChan)
}()

// Read from the channel and gather results into a slice
var sampleList []sample
for s := range sampleChan {
    sampleList = append(sampleList, s)
}

// ...
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By closing the channel asynchronously, the main thread can proceed with collecting the results even while the goroutines are still processing. This breaks the deadlock and allows the code to execute correctly.

Additional Considerations

It is worth noting that while this solution resolves the deadlock, it is not a complete solution for managing concurrency in this specific scenario. Depending on the requirements and the number of goroutines, additional synchronization and error handling mechanisms may be necessary to ensure the reliability and correctness of the code.

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