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Swoole Advanced: How to efficiently manage memory

Jun 15, 2023 am 10:58 AM
Memory management Efficiency swoole

In PHP application development, efficient memory management is very important because it directly affects the performance and stability of the application. As a high-performance PHP network communication framework, Swoole's efficient memory management is also very important. This article will introduce how to efficiently manage Swoole's memory.

1. Swoole’s memory management method

Swoole is a framework written in C language. It has higher performance than PHP, and its internal memory management is also quite different from PHP. .

In PHP, memory management is the responsibility of the PHP engine itself, while in Swoole, memory management is implemented by the memory management method in C. Swoole uses a more efficient memory management system, which can greatly improve program performance.

2. Swoole memory management solution

Swoole’s memory management solution adopts two methods, namely:

1. Memory pool method

Memory The pool method refers to applying for a piece of memory when the program is running and cutting it into multiple equal-sized memory blocks for frequent repeated allocation and release.

The rough implementation process of Swoole's memory pool is as follows:

(1) When the program starts, apply for a certain number of memory blocks;

(2) When memory needs to be allocated, Take out a memory block of just the right size from the memory pool;

(3) When the memory needs to be released, return the memory block to the memory pool.

Swoole's memory pool solution is suitable for a large number of short memory allocation operations, such as: request response, underlying Socket communication and other scenarios.

2. Object pool method

The object pool method refers to saving some objects in memory for frequent reuse. The object pool is different from the memory pool. It does not require frequent memory allocation and release during use, thereby reducing overhead and improving program performance.

The rough implementation process of Swoole's object pool is as follows:

(1) When the program starts, a certain number of objects are created and saved in memory;

(2) When needed When using an object, take out an available object from the object pool;

(3) When the object is no longer used, put the object back into the object pool.

Swoole's object pool solution is suitable for some objects that need to be created frequently but are created slowly, such as database connection pools and other scenarios.

3. Swoole memory management optimization

In order to further optimize Swoole’s memory management, we can use the following optimization methods:

1. Set the memory pool size reasonably

The memory block size of the memory pool should be consistent with the actual usage scenario. If it is too small, it will be easy to apply for memory frequently, and if it is too large, it will occupy too much memory space.

2. Set the number of object pools reasonably

The number of objects in the object pool should be set according to actual usage. If the number of objects in the pool is too small, objects will be created and destroyed frequently, while if the number is too large, it will occupy too much memory space.

3. Avoid memory leaks

Memory leak means that the applied memory space is not released at the end of the program, causing unpredictable problems in the system. In Swoole, we can avoid memory leaks by manually releasing memory.

4. Use memory monitoring tools

Memory monitoring tools can monitor the usage of system memory and promptly discover and solve problems such as memory leaks.

4. Summary

Swoole's efficient memory management is one of the key factors that make Swoole a high-performance network communication framework. For different usage scenarios, Swoole provides two memory management methods: memory pool and object pool, which can be reasonably selected according to the actual situation. In the daily development process, we also need to pay attention to the problem of memory leaks and use memory monitoring tools to optimize the memory usage of the program.

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