原子計數器以身作則
原子計數器用於在多個goroutine中安全地增減或讀取值以避免競爭條件,Go中的sync/atomic包提供底層原子操作,推薦使用atomic.Int64(Go 1.19 )或atomic.AddInt64/LoadInt64等函數實現;1. 使用atomic.Int64可安全實現並發自增,如10個goroutine各增100次最終結果為1000;2. 在舊版Go中可通過atomic.AddInt64(&counter, 1)和atomic.LoadInt64(&counter)操作int64類型變量實現等效功能,需確保使用int64而非int以保證原子性;3. 可結合Load和Add在監控場景中安全讀寫計數器,如後台定期打印訪問量同時主線程增加計數;若未使用原子操作而直接對普通int變量進行並發遞增,則會觸發競態條件,導致結果不准確並被-go run -race檢測出問題;應使用原子計數器的場景包括:僅執行簡單增減查存操作、追求高性能且無需複雜共享狀態;反之當需更新多個關聯變量或執行複合邏輯時應改用sync.Mutex;總結:原子計數器是並發安全、高效無鎖且易於使用的工具,只要確保類型為int64、避免混合非原子操作並利用-race標誌檢測問題,即可正確高效地處理跨goroutine計數需求。
Atomic counters are used when you need to safely increment, decrement, or read a value from multiple goroutines without causing race conditions. In Go, the sync/atomic
package provides low-level atomic operations, and atomic.Int64
(available since Go 1.19) or atomic.Value
with int64
via atomic.AddInt64
, atomic.LoadInt64
, etc., are common ways to implement atomic counters.

Let's walk through a few practical examples that show how atomic counters work and when to use them.
✅ Example 1: Simple Atomic Counter with atomic.Int64
Since Go 1.19, atomic.Int64
provides a clean, type-safe way to manage atomic counters.

package main import ( "fmt" "sync" "sync/atomic" "time" ) func main() { var counter atomic.Int64 var wg sync.WaitGroup // Launch 10 goroutines that each increment the counter 100 times for i := 0; i < 10; i { wg.Add(1) go func() { defer wg.Done() for j := 0; j < 100; j { counter.Add(1) time.Sleep(time.Microsecond) // Simulate small work } }() } wg.Wait() fmt.Println("Final counter value:", counter.Load()) }
Output:
Final counter value: 1000
✅ This is safe and race-free. No mutex needed.

✅ Example 2: Using atomic.AddInt64
and atomic.LoadInt64
(Pre-Go 1.19 style)
If you're on an older Go version or prefer explicit functions:
package main import ( "fmt" "sync" "sync/atomic" ) func main() { var counter int64 // Must be int64 for atomic operations var wg sync.WaitGroup for i := 0; i < 5; i { wg.Add(1) go func() { defer wg.Done() for j := 0; j < 200; j { atomic.AddInt64(&counter, 1) } }() } wg.Wait() fmt.Println("Counter:", atomic.LoadInt64(&counter)) }
? Note: You must use
int64
(notint
) because theatomic
package operates on specific sizes, andint
may be 32-bit on some systems.
✅ Example 3: Atomic Counter with Read (Load) and Write (Store)
You can also safely read and write values atomically:
package main import ( "fmt" "sync/atomic" "time" ) func main() { var visits atomic.Int64 // Simulate a background monitor go func() { for { time.Sleep(500 * time.Millisecond) fmt.Println("Visits so far:", visits.Load()) } }() // Simulate incoming requests for i := 0; i < 10; i { visits.Add(1) time.Sleep(100 * time.Millisecond) } time.Sleep(time.Second) // Let monitor print a few times }
This shows how you can safely read a counter from one goroutine while writing from others.
❌ What Happens Without Atomic?
If you use a regular int
and increment across goroutines:
var counter int for i := 0; i < 10; i { go func() { for j := 0; j < 100; j { counter // ? Not atomic! Race condition! } }() }
Run this with -race
:
go run -race main.go
You'll see race condition warnings , and the final value may be less than expected.
When to Use Atomic Counters
Use atomic counters when:
- You're doing simple operations: increment, decrement, add, load, store.
- Performance matters — atomics are faster than mutexes.
- You don't need complex shared state (eg, updating multiple fields together).
Avoid atomics when:
- You're updating multiple related variables — use
sync.Mutex
instead. - You need complex logic or consistency across values.
Summary
Atomic counters in Go are:
- Safe for concurrent access
- Efficient (no locks)
- Easy to use with
atomic.Int64
oratomic.AddInt64
/LoadInt64
Just remember:
- Use
int64
(notint
) - Don't mix atomic and non-atomic access
- Use
-race
flag to detect issues
Basically, if you're counting things across goroutines, reach for atomic.Int64
. It's simple, fast, and correct.
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