Why can swoole be resident in memory?

The characteristics of Swoole's resident memory: 1. The event-driven model reduces memory consumption; 2. Coroutines execute tasks in parallel and occupy less memory; 3. The coroutine pool pre-allocates coroutines to eliminate creation overhead; 4. Static Variables retain their state to reduce memory allocation; 5. Shared memory shares data across coroutines to reduce memory overhead.

Why Swoole can be resident in memory

Swoole is a high-performance PHP asynchronous network framework that is resident in memory The mechanism mainly benefits from the following features:

1. Event-driven model

Swoole adopts an event-driven model, which means that it uses an event loop to listen and Handles events from network connections. This non-blocking model allows Swoole to handle multiple concurrent requests without creating new threads or processes, thus greatly reducing memory consumption.

2. Coroutines

Swoole uses coroutines to execute tasks concurrently. Coroutines are lightweight threads that can run concurrently without creating new processes or threads. Coroutines take up less memory than traditional multi-process models because they share the same memory space.

3. Coroutine pool

Swoole maintains a coroutine pool, which contains a set of pre-allocated coroutines. When a task needs to be executed, Swoole will obtain a coroutine from the pool, which eliminates the overhead of creating and destroying coroutines, further reducing memory consumption.

4. Static variables

Swoole's coroutine will retain its state, including static variables, throughout its life cycle. This enables coroutines to save data and context information without having to reload them each time a task is executed, thus reducing memory allocations.

5. Shared memory

Swoole can use shared memory to share data across coroutines. This eliminates the need to copy data when passing it between multiple coroutines, thereby reducing memory overhead.

By combining these features, Swoole is able to reside in memory and efficiently handle large numbers of concurrent requests while maintaining low memory consumption. This makes it ideal for building high-performance, scalable web applications.

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