How to avoid database bottlenecks when placing high concurrent orders?

High concurrent orders in e-commerce systems: database performance optimization strategy

The high concurrent ordering scenarios of e-commerce platforms often face database bottlenecks. For example, reducing inventory and updating user balance operations may lead to data consistency problems such as magic reading and dirty reading. Although simple serialization processing is safe, it seriously affects performance and cannot meet the high concurrency requirements. This article will discuss how to optimize database operations and improve the efficiency of concurrent orders.

One of the effective strategies is to use Redis to cache inventory data accessed frequently. Through Redis' atomic operations (such as Lua scripts), inventory judgment and deduction can be efficiently performed, transferring most of the pressure from the MySQL database to Redis. In order to ensure data consistency, Redis data needs to be synchronized back to MySQL regularly.

In addition, the optimistic locking mechanism of the database can also effectively resolve concurrent conflicts. Optimistic locking uses the version number mechanism to check whether the version number matches the expected value when updating the data. If it does not match, it means that the data has been modified to avoid conflicts. Compared with serialization, optimistic locking significantly improves concurrent processing capabilities.

To sum up, Redis caching and optimistic locking mechanisms are two effective strategies to deal with high concurrent ordering scenarios. They significantly improve system performance while ensuring data consistency. Only by choosing the right solution and adjusting it according to the actual situation can we find the best balance of performance and reliability.

The above is the detailed content of How to avoid database bottlenecks when placing high concurrent orders?. For more information, please follow other related articles on the PHP Chinese website!