Asynchronous coroutine development practice: multi-threaded task scheduler based on PHP

Asynchronous coroutine development practice: multi-threaded task scheduler based on PHP

Foreword:
With the continuous development of Internet technology, more websites and Applications begin to face the need for concurrent access. The traditional synchronous programming method can no longer meet this demand, because synchronous programming needs to wait for a certain task to be completed before executing the next task, resulting in low program running efficiency.

Asynchronous programming can continue to execute other tasks while waiting for a certain task, thereby improving the overall program running efficiency. Although PHP itself is a synchronous programming language, by introducing asynchronous coroutines, we can implement a concurrent task scheduler in PHP, thereby making full use of the computer's multi-core resources.

1. The concept of asynchronous coroutine
Asynchronous coroutine refers to dividing the execution process of the application into multiple independent sub-processes. Each sub-process can be executed and waited independently, thereby achieving concurrent execution. Effect.

There are two core concepts of asynchronous coroutines:

1. Asynchronous: The execution of the task will not block the running of the main program, but process the results of the task through the callback function.
2. Coroutine: Coroutine is a lightweight thread that can switch execution between different tasks.

2. Application scenarios of asynchronous coroutines
Asynchronous coroutines have many application scenarios in actual development, including but not limited to the following:

1. Concurrency Request: When you need to initiate requests to multiple servers, you can use asynchronous coroutines to initiate multiple requests at the same time to improve the efficiency of the requests.
2. Fast response: When some tasks need to wait for a long time to be completed, you can use asynchronous coroutines for concurrent processing to improve the response speed of the program.
3. Big data processing: When a large amount of data needs to be processed, asynchronous coroutines can be used to divide the task into multiple subtasks and allocate them to different asynchronous coroutines for processing to improve the processing speed.

3. Multi-threaded task scheduler based on PHP
Below we will demonstrate the implementation of the multi-threaded task scheduler based on PHP through a specific example.

First, we need to use the Swoole extension to implement the function of asynchronous coroutines. Swoole is a high-performance PHP extension that provides a series of asynchronous IO functions.

Code example:
//Create a multi-threaded task scheduler
$scheduler = new SwooleCoroutineScheduler;

//Add tasks to the scheduler
$scheduler->add(function() use ($scheduler){

// 启动一个协程来执行任务1
go(function() use ($scheduler){
    // 执行异步任务1
    $result = yield async_task_1();

    // 处理异步任务1的结果
    echo "Task 1 result: " . $result . "

";

    // 唤醒主协程继续执行
    $scheduler->resume();
});

// 启动一个协程来执行任务2
go(function() use ($scheduler){
    // 执行异步任务2
    $result = yield async_task_2();

    // 处理异步任务2的结果
    echo "Task 2 result: " . $result . "

";

    // 唤醒主协程继续执行
    $scheduler->resume();
});

// 暂停主协程等待所有子协程执行完成
$scheduler->suspend();

});

// Start the scheduler
$scheduler->start();

// Asynchronous task 1
function async_task_1()
{

// 模拟耗时任务
coroutine_sleep(1);

// 返回异步任务结果
return "Task 1 completed";

}

// Asynchronous task 2
function async_task_2()
{

// 模拟耗时任务
coroutine_sleep(2);

// 返回异步任务结果
return "Task 2 completed";

}

// Encapsulated coroutine sleep function
function coroutine_sleep( $seconds)
{

SwooleCoroutine::sleep($seconds);

}

Through the above code example, we can see that we first create a multi-threaded task scheduler $scheduler, and then add Two coroutine tasks are created, namely async_task_1() and async_task_2().

These two coroutine tasks are time-consuming tasks. In order to simulate time-consuming operations, we use the coroutine_sleep() function inside the task to perform sleep operations. In actual use, we can replace time-consuming tasks with real task logic.

After each coroutine task is executed, we will use the $scheduler->resume() method to wake up the main coroutine to continue execution. At the end, we call the $scheduler->suspend() method to suspend the main coroutine and wait for all sub-coroutines to complete execution.

Conclusion:
Through the introduction of this article, we have understood the concept and application scenarios of asynchronous coroutines, and demonstrated the implementation of a multi-threaded task scheduler based on PHP through specific code examples.

Asynchronous coroutines play a big role in concurrent programming, which can improve program execution efficiency and solve problems in concurrent requests, fast response, and big data processing.

However, the application of asynchronous coroutines is not suitable for all scenarios, and the appropriate concurrent programming method needs to be selected based on specific needs and performance requirements.

I hope this article will help you understand the concept and application scenarios of asynchronous coroutines. It can also inspire you to innovate in actual development and make better use of asynchronous coroutines to improve program performance and response. speed.

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