Error handling and recovery strategies in Go concurrent programming

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Release: 2024-06-04 12:40:57
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There are two methods of error handling in concurrent programming: active error handling (propagation of errors) and passive error handling (error pipeline). There are two recovery strategies: recovery (catch panic) and retry (multiple executions). Practical cases demonstrate the use of these four methods.

Error handling and recovery strategies in Go concurrent programming

Error handling and recovery strategies in Go concurrent programming

Error handling

In Go concurrent programming, error handling is crucial . There are two main approaches to handling errors:

  • Active Error Handling (Active Error Propagation): This approach relies on explicitly passing errors from one function to another function. If a function encounters an error, it returns that error, and the calling function needs to handle the error.
  • Passive error handling (error pipe): This method uses channels to deliver errors. The function sends the error to the channel, and the calling function receives the error from the channel. This approach provides greater flexibility but increases code complexity.

Recovery strategy

In addition to error handling, there are also recovery strategies in concurrent programming. Recovery strategies are actions taken when a function fails to execute properly due to an error. There are two common recovery strategies:

  • Recovery: This strategy captures panics and resumes execution by using the built-in recover function.
  • Retry (Retry): This strategy attempts to perform the operation multiple times until it succeeds or reaches a predefined number of retries.

Practical case

Active error handling

func CalculateAverage(numbers []int) (float64, error) {
    if len(numbers) == 0 {
        return 0, errors.New("empty slice")
    }

    sum := 0
    for _, number := range numbers {
        sum += number
    }

    return float64(sum) / float64(len(numbers)), nil
}

func main() {
    numbers := []int{1, 2, 3, 4, 5}
    average, err := CalculateAverage(numbers)
    
    if err != nil {
        fmt.Println(err)
        return
    }
    
    fmt.Println(average)
}
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Passive error handling

type ErrorChannel chan error

func CalculateAverageWithChannel(numbers []int) ErrorChannel {
    ch := make(ErrorChannel)
    
    go func() {
        if len(numbers) == 0 {
            ch <- errors.New("empty slice")
            return
        }
        
        sum := 0
        for _, number := range numbers {
            sum += number
        }
        
        ch <- nil
        close(ch)
    }()
    
    return ch
}

func main() {
    numbers := []int{1, 2, 3, 4, 5}
    ch := CalculateAverageWithChannel(numbers)
    
    for err := range ch {
        if err != nil {
            fmt.Println(err)
            return
        }
        
        fmt.Println("Average calculated successfully")
    }
}
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Recovery

func CalculateAverageWithRecovery(numbers []int) float64 {
    defer func() {
        if r := recover(); r != nil {
            fmt.Println("Error occurred:", r)
        }
    }()
    
    if len(numbers) == 0 {
        panic("empty slice")
    }
    
    sum := 0
    for _, number := range numbers {
        sum += number
    }
    
    return float64(sum) / float64(len(numbers))
}

func main() {
    numbers := []int{1, 2, 3, 4, 5}
    average := CalculateAverageWithRecovery(numbers)
    fmt.Println(average)
}
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Retry

func CalculateAverageWithRetry(numbers []int) (float64, error) {
    var err error = errors.New("empty slice")
    maxRetries := 3
    
    for i := 0; i < maxRetries; i++ {
        if len(numbers) == 0 {
            err = errors.New("empty slice")
            continue
        }
        
        sum := 0
        for _, number := range numbers {
            sum += number
        }
        
        return float64(sum) / float64(len(numbers)), nil
    }
    
    return 0, err
}

func main() {
    numbers := []int{1, 2, 3, 4, 5}
    average, err := CalculateAverageWithRetry(numbers)
    
    if err != nil {
        fmt.Println(err)
    } else {
        fmt.Println(average)
    }
}
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