解决Python多线程同步问题

原创曾经终败给现在 2025-02-18 04:24 10阅读 0赞

在Python中，多线程之间的同步主要通过以下几种方式：

1. **锁（Lock）**：
   Python内置的`threading.Lock()`提供了一种共享资源的互斥访问。
   使用示例：
   ```python
   lock = threading.Lock()
   
   def thread_function():
       # Acquire the lock before accessing shared resource.
       with lock:
           # Shared resource manipulation code here.
   
   threads = [threading.Thread(target=thread_function)) for _ in range(10)]
   
   # Start all threads
   for thread in threads:
       thread.start()
   
   # Wait for all threads to finish
   for thread in threads:
       thread.join()
   ```

2. **条件变量（Condition Variable）**：
   `threading.Condition()`提供了一种线程间通信的机制。
   使用示例：
   ```python
   import threading

condition = threading.Condition()

def thread1():
       with condition:
           print("Thread 1: Before lock")
           # Do some work here.
           print("Thread 1: After lock")

# Notify all threads waiting on the condition.
           condition.notify_all()

print("Thread 1: Exiting normally"))

def thread2():
       with condition:
           print("Thread 2: Before wait")

# Wait until notified by another thread.
           condition.wait()

print("Thread 2: After wait")

print("Thread 2: Exiting normally"))

threads = [threading.Thread(target=thread1)), threading.Thread(target=thread2))]
   
   for thread in threads:
       thread.start()
   
   for thread in threads:
       thread.join()
   ```

3. **Event（Event）**：
   `threading.Event()`是一种简单的信号，可以用来控制多线程的执行。

4. **Semaphore（Semaphore）**：
   `threading.Semaphore()`是一种更复杂的互斥机制，可以限制同时访问共享资源的数量。

这些同步工具可以帮助你避免多线程间数据冲突的问题。