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In-depth analysis of the principles and applications of locks in Golang

Dec 28, 2023 pm 12:31 PM
The principle of locking in golang: locking mechanism Application of locks in golang: concurrent programming Analysis of locks in golang: mutex lock

In-depth analysis of the principles and applications of locks in Golang

Principle and application analysis of locks in Golang

  1. Introduction
    In concurrent programming, we often encounter multiple goroutines accessing shared resources at the same time. In this case, once multiple goroutines perform read and write operations on shared resources at the same time, data inconsistency or race conditions may occur. In order to solve this problem, Golang provides a lock mechanism to protect access to shared resources and ensure that only one goroutine can perform read and write operations at the same time.
  2. Principle of lock
    Golang provides the sync package to implement the lock function. Commonly used locks include Mutex mutex lock and RWMutex read-write lock. Mutex locks are used to protect read and write operations on shared resources. Read-write locks, as the name suggests, read locks are used to protect read operations, and write locks are used to protect write operations.

2.1 Mutex lock
The basic principle of mutex lock is to use a flag bit to indicate whether the resource is locked. When a goroutine wants to access a resource protected by a mutex, it will first try to acquire the lock. If the lock has been acquired by another goroutine, the current goroutine will be blocked until the lock is released. When a goroutine acquires the lock, it can operate on the resource and release the lock after completing the operation so that other goroutines can acquire the lock.

The following is an application example of a mutex lock:

package main

import (
    "fmt"
    "sync"
)

var count int
var lock sync.Mutex

func increase() {
    for i := 0; i < 100000; i++ {
        lock.Lock()
        count++
        lock.Unlock()
    }
}

func main() {
    var wg sync.WaitGroup
    for i := 0; i < 10; i++ {
        wg.Add(1)
        go func() {
            increase()
            wg.Done()
        }()
    }
    wg.Wait()
    fmt.Println("count:", count)
}
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In the above example, we created a mutex lock lock to protect the global variable count read and write operations. Then 10 goroutines are started to operate the count variable concurrently. Each goroutine will perform 100,000 addition operations on count. Finally, output the value of count, and we will find that the result is always 1000000, indicating that the mutex lock indeed guarantees the correctness of concurrent operations.

2.2 Read-write lock
Read-write lock is an extension of the mutex lock. It allows multiple goroutines to read shared resources at the same time, and ensures that there can only be one goroutine when writing resources. Read-write locks can improve the efficiency of concurrent processing of read operations.

The following is an application example of a read-write lock:

package main

import (
    "fmt"
    "sync"
    "time"
)

var count int
var rwlock sync.RWMutex

func read() {
    rwlock.RLock()
    defer rwlock.RUnlock()
    fmt.Println("read:", count)
}

func write() {
    rwlock.Lock()
    defer rwlock.Unlock()
    count = count + 1
    fmt.Println("write:", count)
}

func main() {
    go read()
    go write()

    time.Sleep(time.Second)
}
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In the above example, we created a read-write lock rwlock to protect the global variable count read and write operations. Two goroutines are started, one for reading and the other for writing. Since read operations can be performed at the same time, the read operations will be executed first, and the order of output read: and write: may be different. But we can ensure that the write operation is performed first, and then the read operation is performed to ensure the correctness of the data.

  1. Notes
  2. When using locks, avoid deadlock situations, that is, when multiple goroutines are waiting for each other to release the lock at the same time and cannot continue execution. To avoid deadlock, defer can be used to ensure the lock is released.
  3. Locks have a certain overhead, especially for a large number of concurrent read operations. Therefore, there is a trade-off between performance and correctness when using locks.
  4. Summary
    The lock mechanism in Golang is a commonly used method in concurrent programming. Through mutual exclusion locks and read-write locks, we can ensure the correctness and efficiency of access to shared resources, thereby avoiding Data inconsistency and race condition issues. When using locks, you need to pay attention to avoiding deadlocks and weighing the needs of performance and correctness.

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