Project experience sharing to achieve high concurrent access control through MySQL development

Sharing project experience in achieving high concurrent access control through MySQL development

With the rapid development of the Internet, many websites and applications are facing the challenge of high concurrent access. In this case, it is particularly important to maintain high availability and good performance of the system. In a recent project, I went through the implementation process of a high-concurrency access control and solved this problem through a MySQL database. In this article, I will share my experience with this project.

First, let’s look at the background of the project. Our client is a large e-commerce platform with millions of users visiting their website every day. They needed a system that could handle a large number of simultaneous requests to ensure users could access and purchase items quickly and smoothly. After in-depth discussions with the customer, we decided to use a MySQL database as the solution for data storage and access control.

Before starting implementation, we conducted a series of performance tests to determine the maximum number of concurrent requests the system could handle. We simulated a large number of user requests under different load conditions and then analyzed the system's response time and throughput. Through these tests, we determine the carrying capacity of the system and adjust and optimize our solutions based on these results.

Next, we begin to design and implement a high-concurrency access control system. First, we create a user table to store the user's login credentials and other related information. In order to handle a large number of concurrent requests, we use MySQL's read-write separation mechanism. This means that we send all write operations to the master database, and read operations to multiple slave databases. In this way, we can balance the load across multiple databases, thereby improving the concurrent processing capabilities of the system.

In addition, we also use the partition table function of MySQL to disperse user data into different data tables according to a specific rule. Such partitioning allows the system to process large amounts of data more efficiently and avoids performance problems caused by data growth in a single table. We partitioned the data based on the user's ID, ensuring a balanced and even distribution of data.

In order to further improve the system’s concurrent processing capabilities, we also use MySQL’s index mechanism. By creating indexes on fields that are frequently used in queries, we can quickly locate and retrieve data. At the same time, we also used the caching function of MySQL to cache some frequently accessed data, which greatly improved the response speed of the system.

In addition, we also adopt an access restriction strategy based on the token bucket algorithm. This strategy can effectively limit the frequency of system access to user requests. By controlling the token issuance rate for each user, we ensure that the system is not overloaded and degraded. We store these tokens in MySQL's cache and use cron jobs to update and recycle the tokens.

After a period of testing and tuning, our high-concurrency access control system is finally deployed and online. Customer feedback and user feedback have been very good, with both being able to access and operate the system quickly. Our system is capable of handling tens of thousands of requests per second and maintains stable performance and response times.

Through the experience of this project, I deeply realized the importance of MySQL database in high-concurrency access control. Reasonable design and optimization can greatly improve the system's concurrent processing capabilities and performance. At the same time, we also need to pay attention to the scalability and fault tolerance of the database to cope with possible future growth and failures. In future projects, I will continue to explore and practice more database technologies and methods to cope with changing needs and challenges.

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