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Using Golang's synchronization technology to achieve high-performance concurrency
Abstract:
Golang is a very powerful programming language in terms of concurrency processing, which uses built-in Synchronization primitives and efficient coroutine mechanisms make it relatively easy to write high-performance concurrent programs. This article will introduce common synchronization technologies in Golang, including mutex locks, condition variables, read-write locks and atomic operations, and give specific code examples.
Introduction:
In today's information age, most applications need to handle a large number of concurrent requests. In order to ensure the correctness and performance of the program, it is crucial to handle concurrency properly. As a concurrency-friendly programming language, Golang provides some very useful synchronization technologies that can help us implement high-performance concurrent programs.
1. Mutex lock
Mutex lock is the most basic synchronization technology, which can help us achieve mutually exclusive access to shared variables. In Golang, we can use the built-in sync package to implement mutex locks. Here is a simple example:
package main import ( "fmt" "sync" "time" ) var counter = 0 var mutex sync.Mutex func increment() { mutex.Lock() counter++ mutex.Unlock() } func main() { for i := 0; i < 1000; i++ { go increment() } time.Sleep(time.Second) fmt.Println("counter:", counter) }
In the above code, we use a mutex lock mutex
to protect access to the shared variable counter
. In the increment
function, we first call the Lock
method to obtain the mutex lock, then perform an increment operation on counter
, and finally use Unlock
Method releases the mutex lock. In the main
function, we start 1000 goroutines to perform increment operations on counter
at the same time, and finally output the value of counter
.
2. Condition variables
Condition variables are a synchronization mechanism that allows goroutine to wait or wake up. In Golang, we can use the built-in sync package to implement condition variables. The following is a simple example:
package main import ( "fmt" "sync" "time" ) var ( counter = 0 cond = sync.NewCond(&sync.Mutex{}) ) func increment() { cond.L.Lock() counter++ cond.Signal() cond.L.Unlock() } func decrement() { cond.L.Lock() for counter == 0 { cond.Wait() } counter-- cond.L.Unlock() } func main() { for i := 0; i < 1000; i++ { go increment() go decrement() } time.Sleep(time.Second) fmt.Println("counter:", counter) }
In the above code, we use a condition variable cond
and a mutex lock mutex
to implement shared variables# Secure access to ##counter. In the
increment function, we first obtain the mutex lock, then perform an increment operation on
counter, and finally call the
Signal method to wake up a signal waiting in
cond goroutine on . In the
decrement function, we first obtain the mutex lock, and then check whether the value of
counter is 0. If so, call the
Wait method to wait until it is awakened. , and then perform a self-decrement operation on
counter. In the
main function, we start 1000
increment and
decrement functions at the same time, and finally output the value of
counter.
Read-write lock is a synchronization mechanism that allows multiple goroutines to concurrently read shared resources, but only allows a single goroutine to write to shared resources. In Golang, we can use the built-in sync package to implement read-write locks. Here is a simple example:
package main import ( "fmt" "sync" "time" ) var ( counter = 0 rwLock = sync.RWMutex{} ) func read() { rwLock.RLock() fmt.Println("counter:", counter) time.Sleep(time.Millisecond) rwLock.RUnlock() } func write() { rwLock.Lock() counter++ time.Sleep(time.Millisecond) rwLock.Unlock() } func main() { for i := 0; i < 10; i++ { go read() go write() } time.Sleep(time.Second) }In the above code, we use a read-write lock
rwLock to protect access to the shared variable
counter. In the
read function, we use the
RLock method to obtain the read lock, then output the value of
counter, and call the
RUnlock method to release the read lock . In the
write function, we use the
Lock method to obtain the write lock, then increment the
counter, and call the
Unlock method to release it Write lock. In the
main function, we start 10
read and
write functions at the same time.
Atomic operation is a synchronization mechanism that can realize atomic operations on shared variables without a mutex lock. In Golang, we can use the built-in atomic package to implement atomic operations. Here is a simple example:
package main import ( "fmt" "sync/atomic" "time" ) var counter int32 func increment() { atomic.AddInt32(&counter, 1) } func main() { for i := 0; i < 1000; i++ { go increment() } time.Sleep(time.Second) fmt.Println("counter:", atomic.LoadInt32(&counter)) }In the above code, we use the
AddInt32 function to perform an atomic increment operation on the shared variable
counter, and use ## The #LoadInt32
function obtains the value of counter
. In the main
function, we start 1000 increment
functions at the same time, and finally output the value of counter
. Conclusion:
References:
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