Swoole asynchronous MySQL design and optimization experience sharing

Swoole’s experience sharing in asynchronous MySQL design and optimization

With the continuous development of Internet applications, the concurrent request processing capability of the MySQL database has gradually become a bottleneck. In order to develop high-performance, high-concurrency MySQL applications, many developers have begun to turn their attention to asynchronous MySQL technology, and Swoole, as an open source asynchronous network communication framework, has attracted more and more developers to use it. This article will share our experience in the design and optimization of Swoole asynchronous MySQL.

1. Design of Swoole asynchronous MySQL

1. Design of asynchronous MySQL connection pool

In asynchronous MySQL, the use of connection pool technology can effectively improve Application performance. In practical applications, we designed an asynchronous MySQL connection pool based on Swoole. Its main functions are as follows:

1) Realize the automatic acquisition and release of asynchronous MySQL connections.

2) Set the maximum number of connections to avoid too many connections.

3) Implement a connection retry mechanism to prevent connection fluctuations from affecting applications.

4) Add a connection pool preheating mechanism to shorten the connection acquisition time.

2. Cutting and splicing of SQL statements

When executing a large number of SQL statements, one SQL statement may cause an excessive amount of data, thus affecting the availability of the program. In actual development, we need to cut a SQL statement into multiple small SQL statements to avoid excessive data volume.

The specific implementation method is to use paging parameters to cut the SQL statement into multiple small SQL statements, and then execute these small SQL statements through the asynchronous MySQL coroutine.

2. Optimization of Swoole asynchronous MySQL

1. Queue optimization

For frequent query requests, we can use queue technology to optimize queries. The specific method is to add query requests to the queue and process them asynchronously in the coroutine to shorten the response time. At the same time, we can prioritize query requests according to business needs to achieve better performance improvement.

2. Connection pool performance optimization

The connection pool is one of the important performance bottlenecks in asynchronous MySQL. In order to optimize its performance, we increased the capacity of the connection pool and designed the connection pool data structure to avoid too many connections in the connection pool and affect system performance.

At the same time, we also preheated the connection pool to ensure that the connection pool is not empty after the system starts and improve application performance.

3. Use and Scheduling of Coroutines

Coroutines are an important technical feature in Swoole’s asynchronous MySQL design. They can realize continuous scheduling of programs and avoid the overhead of thread switching. impact on system performance.

When using coroutines in applications, you need to pay attention to the reasonable use of coroutine scheduling. We can register the callback function of the Swoole coroutine to implement the coroutine scheduling mechanism, avoid coroutine blocking, and give full play to the performance advantages of asynchronous MySQL.

4. Error handling optimization

In asynchronous MySQL applications, error handling is very important. In order to avoid exceptions in applications, we need to optimize exceptions.

The specific implementation method is to add a callback function for handling exceptions in the asynchronous MySQL coroutine. When an exception occurs, use the exception handling function to capture the exception and record as many exception logs as possible to avoid application crashes.

Conclusion

The superiority of Swoole asynchronous MySQL technology has been recognized by more and more developers. This article shares our experience in the design and optimization of asynchronous MySQL, hoping to help more developers improve the performance and concurrent processing capabilities of MySQL applications.

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