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目錄
? When to Use atomic Instead of Mutexes
? Common Operations in the atomic Package
2. atomic.Add()
3. atomic.CompareAndSwap() (CAS)
4. atomic.Swap()
?? Practical Example: Lock-Free Counter
?? Important Notes and Gotchas
? Using atomic.Value for Generic Data
? Summary
首頁 後端開發(fā) Golang 使用'原子”軟件包進行無鎖操作

使用'原子”軟件包進行無鎖操作

Jul 26, 2025 am 09:02 AM

使用atomic 包適用於對基本類型進行簡單的並發(fā)操作,1. 當(dāng)操作是整數(shù)或指針的讀寫、增減、比較並交換時優(yōu)先使用atomic;2. 避免用於需同時更新多個字段的複雜結(jié)構(gòu);3. atomic.Load 和Store 確保安全讀寫;4. atomic.Add 實現(xiàn)無鎖遞增;5. atomic.CompareAndSwap 支持條件更新;6. atomic.Swap 用於狀態(tài)切換;7. atomic.Value 可安全共享任意不可變數(shù)據(jù);最終結(jié)論:對單一變量的簡單操作,atomic 是比mutex 更高效的選擇。

Using the `atomic` Package for Lock-Free Operations in Go

In Go, when you need to perform concurrent operations on shared variables without the overhead of mutex locks, the sync/atomic package is your go-to tool. It provides low-level primitives for atomic (lock-free) operations, which are essential for building high-performance concurrent programs. These operations are guaranteed to be indivisible—no goroutine will see a partially completed operation.

Using the `atomic` Package for Lock-Free Operations in Go

Here's how and when to use the atomic package effectively in Go.


? When to Use atomic Instead of Mutexes

Use atomic when:

Using the `atomic` Package for Lock-Free Operations in Go
  • You're working with simple data types (integers, pointers, etc.).
  • The operation is a basic read/write, increment, compare-and-swap, etc.
  • You want to avoid the performance cost of locking with sync.Mutex .

Avoid atomic when:

  • You're dealing with complex data structures or multiple fields that must be updated together.
  • Your logic involves multiple steps that can't be made atomic individually.

In short: atomic is ideal for simple, lock-free operations on primitive types.

Using the `atomic` Package for Lock-Free Operations in Go

? Common Operations in the atomic Package

The atomic package supports operations on int32 , int64 , uint32 , uint64 , uintptr , and unsafe.Pointer . Here are the most commonly used functions:

1. atomic.Load() and atomic.Store()

These ensure safe reads and writes to shared variables.

 var counter int64

// Safe read
value := atomic.LoadInt64(&counter)

// Safe write
atomic.StoreInt64(&counter, 42)

Using Load and Store avoids data races that could occur with plain reads/writes across goroutines.

2. atomic.Add()

Atomically adds a value and returns the new value.

 newVal := atomic.AddInt64(&counter, 1) // increment by 1

This is much faster than using a mutex to protect an increment.

3. atomic.CompareAndSwap() (CAS)

This is the foundation of many lock-free algorithms. It compares the current value with an expected one and swaps only if they match.

 var initialized int32

if atomic.CompareAndSwapInt32(&initialized, 0, 1) {
    // Only one goroutine will succeed
    fmt.Println("Initialized!")
}

Useful for implementing one-time initialization, flags, or retry loops in concurrent data structures.

4. atomic.Swap()

Atomically swaps a new value and returns the old one.

 old := atomic.SwapInt32(&state, newState)

Handy for toggling states or grabbing current values while updating.


?? Practical Example: Lock-Free Counter

Here's a simple example using atomic.AddInt64 to safely increment a counter from multiple goroutines:

 package main

import (
    "fmt"
    "sync"
    "sync/atomic"
)

func main() {
    var counter int64
    var wg sync.WaitGroup
    numGoroutines := 100

    for i := 0; i < numGoroutines; i {
        wg.Add(1)
        go func() {
            defer wg.Done()
            for j := 0; j < 1000; j {
                atomic.AddInt64(&counter, 1)
            }
        }()
    }

    wg.Wait()
    fmt.Printf("Final counter value: %d\n", counter) // Always 100000
}

This would be racy and incorrect without atomic.AddInt64 .


?? Important Notes and Gotchas

  • Alignment : On 32-bit systems, 64-bit operations ( int64 , uint64 ) require proper memory alignment. The Go runtime usually handles this, but be cautious when embedding atomic fields in structs. To be safe, put 64-bit atomics at the start of a struct or use //go:align directives.

  • Not a Silver Bullet : While atomic operations are fast, overusing them (especially CAS in tight loops) can cause high cache contention and degrade performance.

  • No Composite Operations : You can't atomically update two variables together. If you need that, consider sync.Mutex or atomic.Value for complex types.


? Using atomic.Value for Generic Data

For cases where you want to share arbitrary data (like config structs) without locks, use atomic.Value . It allows safe reads and writes of any type, as long as you always store the same concrete type.

 var config atomic.Value

// Initialize
config.Store(&Config{Timeout: 5, Retries: 3})

// Read in another goroutine
cfg := config.Load().(*Config)
fmt.Printf("Timeout: %v\n", cfg.Timeout)

This is great for immutable configuration updates or caching.


? Summary

  • Use sync/atomic for simple, lock-free operations on primitive types.
  • Prefer atomic.Load , Store , Add , and CompareAndSwap over mutexes when possible.
  • Be aware of alignment and type safety, especially with int64 and atomic.Value .
  • atomic.Value is powerful for sharing immutable data across goroutines.

Used wisely, the atomic package helps you write efficient, race-free concurrent Go programs—without the cost of locks. Just remember: keep it simple, and don't overcomplicate with atomics when a mutex would be clearer.

Basically, if it's a single variable and a basic operation, atomic is probably the better choice.

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