案例:考虑一个在线博客平台,博客文章内容存储在MySQL数据库中,同时使用Redis作为缓存层以提高访问速度。用户在发布新博客文章时,需要确保文章内容既保存在MySQL中,也缓存到Redis中,以避免数据丢失导致用户访问时获取不到最新的博客内容。
# Python代码示例 - 发布博客文章的逻辑
import redis
import MySQLdb
def publish_blog(post_id, title, content):
redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
mysql_conn = MySQLdb.connect(host='localhost', user='user', password='password', db='blog')
cursor = mysql_conn.cursor()
try:
# 开始MySQL事务
mysql_conn.begin()
# 向MySQL插入博客文章
cursor.execute(f'INSERT INTO posts (id, title, content) VALUES ({post_id}, "{title}", "{content}")')
# 提交MySQL事务
mysql_conn.commit()
# 将博客文章缓存到Redis中
redis_client.set(f'post:{post_id}:title', title)
redis_client.set(f'post:{post_id}:content', content)
except Exception as e:
# 发生异常,回滚MySQL事务
mysql_conn.rollback()
print(f"Error: {e}")
finally:
cursor.close()
mysql_conn.close()
解决方案:
# Redis配置文件 redis.conf
appendonly yes
# 或者
save 60 1
# Python代码示例 - 添加错误处理与日志记录
import logging
def publish_blog(post_id, title, content):
redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
mysql_conn = MySQLdb.connect(host='localhost', user='user', password='password', db='blog')
cursor = mysql_conn.cursor()
try:
# 开始MySQL事务
mysql_conn.begin()
# 向MySQL插入博客文章
cursor.execute(f'INSERT INTO posts (id, title, content) VALUES ({post_id}, "{title}", "{content}")')
# 提交MySQL事务
mysql_conn.commit()
# 将博客文章缓存到Redis中
redis_client.set(f'post:{post_id}:title', title)
redis_client.set(f'post:{post_id}:content', content)
except Exception as e:
# 发生异常,回滚MySQL事务
mysql_conn.rollback()
logging.error(f"Error publishing blog post {post_id}: {e}")
finally:
cursor.close()
mysql_conn.close()