客户选座业务需求,已知三个表,客户表,id和姓名,座位表,id和座位名称,状态,0空闲,1占用,客户占座表,id,客户id,座位id,选座时间,请写出占座api伪代码,参数为客户id,座位号id,不允许多个客户占用同一个座位,需要在多个并发请求下不出现问题且满足最大并发量
时间: 2024-09-29 10:14:04 浏览: 21
西南交通大学-数据结构实验报告-哈希表的建立与查找
在设计这个API伪代码时,我们将考虑线程安全、并发控制和数据一致性。这里是一个基于乐观锁(假设数据库支持行级锁定)的伪代码示例:
```python
import threading
from datetime import datetime
def check_seat_availability(customer_id, seat_id):
with db_connection.cursor() as cursor:
# 查询当前座位的状态及上次修改时间
cursor.execute("""
SELECT status, last_updated
FROM seats
WHERE id = %s FOR UPDATE;
""", (seat_id,))
row = cursor.fetchone()
if not row or row[0] != 0: # 座位已被占用或不存在
return False, "该座位已占用"
lock_version = row[1]
def update_seat_status(lock_version):
try:
with db_connection.cursor() as cursor:
# 使用行级锁更新状态并检查版本是否一致
cursor.execute("""
UPDATE seats
SET status = 1, occupied_by = %s, occupied_at = %s
WHERE id = %s AND version = %s
RETURNING version; # 获取新的版本号
""", (customer_id, datetime.now(), seat_id, lock_version))
updated_row = cursor.fetchone()
if not updated_row or updated_row[0] != lock_version + 1:
raise Exception("锁冲突,座位状态已被其他操作改变")
# 提交事务
db_connection.commit()
return True
except Exception as e:
print(f"Lock conflict: {str(e)}")
return False
# 尝试获取锁并更新状态
success = update_seat_status(lock_version)
if success:
return True, f"座位{seat_id}已成功锁定"
else:
return False, "无法获取锁,座位可能被其他用户同时占用"
def reserve_seat(api_key, customer_id, seat_id):
# 校验API密钥
if not validate_api_key(api_key):
return {"error": "无效API key"}
# 单元锁并发控制
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
future = executor.submit(check_seat_availability, customer_id, seat_id)
result = future.result()
if result[0]:
return {"success": True, "message": result[1]}
else:
return {"success": False, "message": result[1]}
#
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