Optimization tips for golang function calls

Go function call optimization skills answer: By optimizing function call technology, the performance of Go programs can be significantly improved. Reduce the number of function calls: Reduce the number of unnecessary calls and use bit operations instead of function calls. Inline functions: Embed the function body into the calling function to avoid function calling overhead. Use closures: Closures allow access to scope variables and avoid passing variables repeatedly in each call.

Optimization techniques for Go function calls

In Go, the overhead of function calls is extremely low, but by optimizing calling techniques, we can still significantly improve the program performance. This article will introduce some function call optimization techniques and provide practical cases.

Reduce the number of function calls

Function calls involve value transfer and return, which will generate overhead. Reducing the number of unnecessary calls can improve performance.

Practical case:

// 原始代码，大量函数调用
func sumEvenNumbers(nums []int) int {
    count := 0
    for _, num := range nums {
        if num%2 == 0 {
            count++
        }
    }
    return count
}

// 优化后，减少函数调用
func sumEvenNumbersOpt(nums []int) int {
    evenCount := 0
    for _, num := range nums {
        if num&1 == 0 {
            evenCount++
        }
    }
    return evenCount
}

By using the bit operator &1 instead of calling num%2, the function is reduced The number of calls optimizes performance.

Inline functions

Inline functions embed the function body directly into the function that calls it, avoiding the overhead of function calls.

Practical case:

// 原始代码，调用 pow 函数
func square(x float64) float64 {
    return math.Pow(x, 2)
}

// 优化后，内联 pow 函数
func squareOpt(x float64) float64 {
    return x * x
}

For simple and frequently called functions, inlining can greatly improve performance.

Using closures

Closures allow functions to access variables within their scope, avoiding passing variables repeatedly in each call.

Practical case:

// 原始代码，重复传递变量
func filterEvenNumbers(nums []int) []int {
    result := make([]int, 0)
    for _, num := range nums {
        if num%2 == 0 {
            result = append(result, num)
        }
    }
    return result
}

// 优化后，使用闭包避免重复传递变量
func filterEvenNumbersOpt(nums []int) []int {
    return filter(nums, func(num int) bool { return num%2 == 0 })
}

func filter(nums []int, f func(int) bool) []int {
    result := make([]int, 0)
    for _, num := range nums {
        if f(num) {
            result = append(result, num)
        }
    }
    return result
}

By passing the filter function as a closure to the filter function, it avoids repeated passing in each call nums Variables.

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