Common methods for Golang function optimization

Common methods for Go function optimization include: avoiding unnecessary allocations and improving performance through pooling or reusing variables. Choose an efficient data structure, such as using map instead of struct to improve key-value pair search efficiency. Avoid deep recursion and, if possible, use iteration. Utilizing coroutines for parallel processing can improve performance. For highly optimized code, consider using assembly inline assembly optimization to maximize performance.

Common ways to optimize Go functions

Optimizing functions can improve the performance and responsiveness of Go applications. The following are some common optimization techniques:

1. Avoid unnecessary allocation

Creating and destroying objects takes time and memory. Avoiding unnecessary allocations can improve performance. For example, you can use pooled objects or reuse variables within function scope.

Practical case:

// 不必要的分配
func doSomething() {
   var b []byte = make([]byte, 1024)
   // 使用 b
}

// 避免不必要的分配
var b []byte

func doSomething() {
   if b == nil {
      b = make([]byte, 1024)
   }
   // 使用 b
}

2. Use efficient data structures

Choosing the right data structure can have a huge impact Code performance. For example, map finds key-value pairs more efficiently than struct.

Practical case:

// 使用 map
func findKey(m map[string]string, key string) string {
   return m[key]
}

// 使用 struct
type MyStruct struct {
   Key string
   Value string
}

func findKey(s MyStruct, key string) string {
   if s.Key == key {
      return s.Value
   }
   return ""
}

3. Avoid deep recursion

Deep recursion will cause stack overflow. If possible, iteration should be used instead of recursion.

Practical case:

// 递归
func factorial(n int) int {
   if n <= 1 {
      return 1
   }
   return n * factorial(n-1)
}

// 迭代
func factorial(n int) int {
   result := 1
   for i := 1; i <= n; i++ {
      result *= i
   }
   return result
}

4. Parallel processing

For tasks that can be executed in parallel, you can use Go coroutines . This can significantly improve performance.

Practical case:

package main

import (
   "sync"
   "time"
)

// 并行的执行
func main() {
   var wg sync.WaitGroup

   for i := 0; i < 10; i++ {
      wg.Add(1)
      go func(i int) {
         defer wg.Done()
         time.Sleep(100 * time.Millisecond)
         println(i)
      }(i)
   }

   wg.Wait()
}

5. Use assembly optimization

For highly optimized code, you can use assembly inlining Assembly optimization. This allows direct manipulation of the hardware, maximizing performance.

Practical case:

// 获取当前时间
func now() int64 {
   var t int64
   asm("CPUID\nMOVL %%ebx, %0" : "=m"(t))
   return t
}

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