案例:考虑一个简单的电子商务网站,有一个商品信息服务,使用MySQL存储商品信息,而使用Redis缓存了商品的价格信息。用户在浏览商品页面时,系统首先查询Redis获取商品价格,如果缓存中不存在,则从MySQL中查询并写入Redis缓存。这样的设计可以提高访问速度,但可能导致数据同步延迟。
# Python代码示例 - 获取商品价格的逻辑
import redis
import MySQLdb
def get_product_price(product_id):
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()
# 尝试从Redis中获取商品价格
price = redis_client.get(f'product:{product_id}:price')
if price is None:
# 从MySQL中查询商品价格
cursor.execute(f'SELECT price FROM products WHERE id={product_id}')
result = cursor.fetchone()
if result:
price = result[0]
# 将商品价格写入Redis缓存
redis_client.set(f'product:{product_id}:price', price)
cursor.close()
mysql_conn.close()
return price
解决方案:
# Python代码示例 - 使用消息队列进行异步更新商品价格
import redis
import MySQLdb
import json
from kafka import KafkaProducer
def update_product_price(product_id, new_price):
# 更新MySQL中商品价格
mysql_conn = MySQLdb.connect(host='localhost', user='user', password='password', db='ecommerce')
cursor = mysql_conn.cursor()
cursor.execute(f'UPDATE products SET price={new_price} WHERE id={product_id}')
mysql_conn.commit()
cursor.close()
mysql_conn.close()
# 将更新操作放入消息队列
message = {'product_id': product_id, 'new_price': new_price}
producer = KafkaProducer(bootstrap_servers='localhost:9092', value_serializer=lambda v: json.dumps(v).encode('utf-8'))
producer.send('product_price_updates', value=message)
producer.close()
# Python代码示例 - 定期同步商品价格数据
import redis
import MySQLdb
import schedule
import time
def sync_product_prices():
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()
# 获取所有商品ID
cursor.execute('SELECT id FROM products')
product_ids = [result[0] for result in cursor.fetchall()]
for product_id in product_ids:
# 从MySQL中查询商品价格
cursor.execute(f'SELECT price FROM products WHERE id={product_id}')
result = cursor.fetchone()
if result:
price = result[0]
# 将商品价格写入Redis缓存
redis_client.set(f'product:{product_id}:price', price)
cursor.close()
mysql_conn.close()
# 每小时执行一次同步
schedule.every().hour.do(sync_product_prices)
while True:
schedule.run_pending()
time.sleep(1)