
在秒杀系统中,商品库存的管理通常会使用Redis进行缓存,以提高读取速度。但是,由于秒杀活动可能导致大量的并发请求,Redis中的库存数据与MySQL中的实际库存可能存在延迟,甚至不一致的情况。
为了检测Redis与MySQL数据不一致,我们可以采用以下策略:
# Python代码示例 - 定期巡检
import redis
import MySQLdb
import schedule
import time
def check_inventory_consistency():
redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
mysql_conn = MySQLdb.connect(host='localhost', user='user', password='password', db='ecommerce')
cursor = mysql_conn.cursor()
# 获取商品ID列表
cursor.execute('SELECT id FROM products')
product_ids = [result[0] for result in cursor.fetchall()]
for product_id in product_ids:
# 从Redis中获取缓存库存
redis_stock = int(redis_client.get(f'product:{product_id}:stock') or 0)
# 从MySQL中获取实际库存
cursor.execute(f'SELECT stock FROM products WHERE id={product_id}')
mysql_stock = cursor.fetchone()[0]
# 检测库存一致性
if redis_stock != mysql_stock:
print(f"Inventory inconsistency detected for product {product_id}. Redis: {redis_stock}, MySQL: {mysql_stock}")
cursor.close()
mysql_conn.close()
# 每30分钟执行一次检测
schedule.every(30).minutes.do(check_inventory_consistency)
while True:
schedule.run_pending()
time.sleep(1)# Python代码示例 - 异步更新通知
import redis
from kafka import KafkaConsumer
def listen_for_inventory_updates():
redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
consumer = KafkaConsumer('product_stock_updates', bootstrap_servers='localhost:9092', group_id='inventory_checker')
for message in consumer:
# 处理库存更新通知
product_info = json.loads(message.value)
product_id = product_info['product_id']
# 从Redis中获取缓存库存
redis_stock = int(redis_client.get(f'product:{product_id}:stock') or 0)
# 检测库存一致性
if redis_stock != product_info['new_stock']:
print(f"Inventory inconsistency detected for product {product_id}. Redis: {redis_stock}, Kafka: {product_info['new_stock']}")
# 启动监听线程
listen_thread = threading.Thread(target=listen_for_inventory_updates)
listen_thread.start()