Golang function cache hotkey processing strategy revealed

Question: How to use hotkey handling strategy to improve function cache performance in Go? Specific strategy: Use hotkey caching to identify frequently called functions. Store frequently called functions in a quick access area. When the frequently called function is called again, it is obtained directly from the fast access area to reduce cache overhead.

Go Function Cache: Hotkey Handling Strategy Revealed

In Go, function caching is widely used to improve application performance , but when a large number of functions are called frequently, the performance of the cache may be affected. To solve this problem, we can use hotkey handling strategy.

Strategy Overview

The purpose of the hotkey processing strategy is to identify and process frequently called functions and cache them into a separate quick access area. In this way, when these functions are called again, they can be quickly fetched from this fast access area, thereby reducing cache overhead.

Implementation Example

In Go, we can use the sync.Map type to implement the hotkey handling strategy. Here is an example:

import "sync"

// 定义热键缓存
var hotKeyCache sync.Map

// 定义函数缓存
var funcCache sync.Map

// 添加函数到热键缓存
func AddToHotKeyCache(key string, fn interface{}) {
    hotKeyCache.Store(key, true)
}

// 从缓存中获取函数
func GetFromCache(key string) (interface{}, bool) {
    // 检查热键缓存
    if _, ok := hotKeyCache.Load(key); ok {
        return funcCache.Load(key)
    }

    // 从函数缓存中获取
    return funcCache.Load(key)
}

// 增加函数调用次数
func IncrementCallCount(key string) {
    // 检查热键缓存
    if _, ok := hotKeyCache.Load(key); ok {
        return
    }

    // 如果函数调用次数达到某个阈值，将其添加到热键缓存
    if callCount := funcCache.Store(key, callCount + 1); callCount >= 10 {
        AddToHotKeyCache(key,  funcCache.Load(key))
    }
}

Practical case

Suppose we have a function that calculates Fibonacci numbers:

func fib(n int) int {
    if n == 0 || n == 1 {
        return 1
    }
    return fib(n-1) + fib(n-2)
}

If called in large numbersfib function, we can use the above strategy to optimize its performance:

// 将 fib 函数添加到缓存
funcCache.Store("fib", fib)

// 为 fib 函数增加调用次数
func IncrementFibCallCount() {
    IncrementCallCount("fib")
}

Every time the fib function is called, the IncrementCallCount function will increase the number of function calls frequency. When the number of calls reaches a certain threshold (such as 10), the fib function will be added to the hotkey cache, providing faster access for subsequent calls.

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