如何使用Redis实现分布式数据一致性

import redis
import time

def acquire_lock(redis_conn, lock_name, expire_time=10):
    lock = None
    try:
        while not lock:
            lock = redis_conn.setnx(lock_name, int(time.time()) + expire_time)
            if lock:
                redis_conn.expire(lock_name, expire_time)
        return True
    except Exception as e:
        return False

def release_lock(redis_conn, lock_name):
    redis_conn.delete(lock_name)

# 使用示例
redis_conn = redis.Redis(host='localhost', port=6379, db=0)
lock_name = 'my_lock'
acquired = acquire_lock(redis_conn, lock_name)
if acquired:
    try:
        # 执行某些操作
    finally:
        release_lock(redis_conn, lock_name)

import redis

def publish_data(redis_conn, channel, data):
    redis_conn.publish(channel, data)

def subscribe_data(redis_conn, channel):
    pubsub = redis_conn.pubsub()
    pubsub.subscribe(channel)
    for message in pubsub.listen():
        # 处理接收到的数据
        print(message)

# 使用示例
redis_conn = redis.Redis(host='localhost', port=6379, db=0)
channel = 'data_sync'
data = 'hello-world'
publish_data(redis_conn, channel, data)
subscribe_data(redis_conn, channel)