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Go

// In the previous example we saw how to manage simple
// counter state using [atomic operations](atomic-counters).
// For more complex state we can use a <em>[mutex](http://en.wikipedia.org/wiki/Mutual_exclusion)</em>
// to safely access data across multiple goroutines.
package main
import (
"fmt"
"math/rand"
"sync"
"sync/atomic"
"time"
)
func main() {
// For our example the `state` will be a map.
var state = make(map[int]int)
// This `mutex` will synchronize access to `state`.
var mutex = &sync.Mutex{}
// We'll keep track of how many read and write
// operations we do.
var readOps uint64
var writeOps uint64
// Here we start 100 goroutines to execute repeated
// reads against the state, once per millisecond in
// each goroutine.
for r := 0; r < 100; r++ {
go func() {
total := 0
for {
// For each read we pick a key to access,
// `Lock()` the `mutex` to ensure
// exclusive access to the `state`, read
// the value at the chosen key,
// `Unlock()` the mutex, and increment
// the `readOps` count.
key := rand.Intn(5)
mutex.Lock()
total += state[key]
mutex.Unlock()
atomic.AddUint64(&readOps, 1)
// Wait a bit between reads.
time.Sleep(time.Millisecond)
}
}()
}
// We'll also start 10 goroutines to simulate writes,
// using the same pattern we did for reads.
for w := 0; w < 10; w++ {
go func() {
for {
key := rand.Intn(5)
val := rand.Intn(100)
mutex.Lock()
state[key] = val
mutex.Unlock()
atomic.AddUint64(&writeOps, 1)
time.Sleep(time.Millisecond)
}
}()
}
// Let the 10 goroutines work on the `state` and
// `mutex` for a second.
time.Sleep(time.Second)
// Take and report final operation counts.
readOpsFinal := atomic.LoadUint64(&readOps)
fmt.Println("readOps:", readOpsFinal)
writeOpsFinal := atomic.LoadUint64(&writeOps)
fmt.Println("writeOps:", writeOpsFinal)
// With a final lock of `state`, show how it ended up.
mutex.Lock()
fmt.Println("state:", state)
mutex.Unlock()
}