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parallel

> 编程语言
开源

一个先进的并行化库,可通过多个 CPU 线程实现高效的多任务处理、优化资源使用和应用程序响应速度

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工具介绍

一个先进的并行化库,可通过多个 CPU 线程实现高效的多任务处理、优化资源使用和应用程序响应速度

amphp/parallel

AMPHP is a collection of event-driven libraries for PHP designed with fibers and concurrency in mind. amphp/parallel provides true parallel processing for PHP using multiple processes or threads, without blocking and no extensions required.

To be as flexible as possible, this library comes with a collection of non-blocking concurrency tools that can be used independently as needed, as well as an "opinionated" worker API that allows you to assign units of work to a pool of worker processes.

Requirements

  • PHP 8.1+

Optional requirements to use threads instead of processes

  • PHP 8.2+ ZTS
  • ext-parallel

Installation

This package can be installed as a Composer dependency.

composer require amphp/parallel

Usage

The basic usage of this library is to submit blocking tasks to be executed by a worker pool in order to avoid blocking the main event loop.

 $e->getFuture(),
    $executions,
));

foreach ($responses as $url => $response) {
    \printf("Read %d bytes from %s\n", \strlen($response), $url);
}

FetchTask is just used as an example for a blocking function here. If you just want to fetch multiple HTTP resources concurrently, it's better to use amphp/http-client, our non-blocking HTTP client.

Note The functions you call must be predefined or autoloadable by Composer, so they also exist in the worker process or thread.

Workers

Worker provides a simple interface for executing PHP code in parallel in a separate PHP process or thread. Classes implementing Task are used to define the code to be run in parallel.

Tasks

The Task interface has a single run() method that gets invoked in the worker to dispatch the work that needs to be done. The run() method can be written using blocking code since the code is executed in a separate process or thread.

Task instances are serialize'd in the main process and unserialize'd in the worker. That means that all data that is passed between the main process and a worker needs to be serializable.

In the example below, a Task is defined which calls a blocking function (file_get_contents() is only an example of a blocking function, use http-client for non-blocking HTTP requests).

Child processes or threads executing tasks may be reused to execute multiple tasks.

// FetchTask.php
// Tasks must be defined in a file which can be loaded by the composer autoloader.

use Amp\Cancellation;
use Amp\Parallel\Worker\Task;
use Amp\Sync\Channel;

class FetchTask implements Task
{
    public function __construct(
        private readonly string $url,
    ) {
    }

    public function run(Channel $channel, Cancellation $cancellation): string
    {
        return file_get_contents($this->url); // Example blocking function
    }
}
// main.php

$worker = Amp\Parallel\Worker\createWorker();
$task = new FetchTask('https://amphp.org');

$execution = $worker->submit($task);

// $data will be the return value from FetchTask::run()
$data = $execution->await();

Sharing data between tasks

Tasks may wish to share data between tasks runs. A Cache instance stored in a static property that is only initialized within Task::run() is our recommended strategy to share data.

use Amp\Cache\LocalCache;
use Amp\Cancellation;
use Amp\Parallel\Worker\Task;
use Amp\Sync\Channel;

final class ExampleTask implements Task
{
    private static ?LocalCache $cache = null;
    
    public function run(Channel $channel, Cancellation $cancellation): mixed
    {
        $cache = self::$cache ??= new LocalCache();
        $cachedValue = $cache->get('cache-key');
        // Use and modify $cachedValue...
        $cache->set('cache-key', $updatedValue);
        return $updatedValue;
    }
}

You may wish to provide a hook to initialize the cache with mock data for testing.

A worker may be executing multiple tasks, so consider using AtomicCache instead of LocalCache when creating or updating cache values if a task uses async I/O to generate a cache value. AtomicCache has methods which provide mutual exclusion based on a cache key.

Task cancellation

A Cancellation provided to Worker::submit() may be used to request cancellation of the task in the worker. When cancellation is requested in the parent, the Cancellation provided to Task::run() is cancelled. The task may choose to ignore this cancellation request or act accordingly and throw a CancelledException from Task::run(). If the cancellation request is ignored, the task may continue and return a value which will be returned to the parent as though cancellation had not been requested.

Worker Pools

The easiest way to use workers is through a worker pool. Worker pools can be used to submit tasks in the same way as a worker, but rather than using a single worker process, the pool uses multiple workers to execute tasks. This allows multiple tasks to be executed simultaneously.

The WorkerPool interface extends Worker, adding methods to get information about the pool or pull a single Worker instance out of the pool. A pool uses multiple Worker instances to execute Task instances.

If a set of tasks should be run within a single worker, use the WorkerPool::getWorker() method to pull a single worker from the pool. The worker is automatically returned to the pool when the instance returned is destroyed.

Global Worker Pool

A global worker pool is available and can be set using the function Amp\Parallel\Worker\workerPool(?WorkerPool $pool = null). Passing an instance of WorkerPool will set the global pool to the given instance. Invoking the function without an instance will return the current global instance.

Child Processes or Threads

Contexts simplify writing and running PHP in parallel. A script written to be run in parallel must return a callable that will be run in a child process or thread. The callable receives a single argument – an instance of Channel that can be used to send data between the parent and child processes or threads. Any serializable data can be sent across this channel. The Context object, which extends the Channel interface, is the other end of the communication channel.

Contexts are created using a ContextFactory. DefaultContextFactory will use the best available method of creating context, creating a thread if ext-parallel is installed or otherwise using a child process. ThreadContextFactory (requires a ZTS build of PHP 8.2+ and ext-parallel to create threads) and ProcessContextFactory are also provided should you wish to create a specific context type.

In the example below, a child process or thread is used to call a blocking function (file_get_contents() is only an example of a blocking function, use http-client for non-blocking HTTP requests). The result of that function is then sent back to the parent using the Channel object. The return value of the child callable is available using the Context::join() method.

Child Process or Thread

// child.php

use Amp\Sync\Channel;

return function (Channel $channel): mixed {
    $url = $channel->receive();

    $data = file_get_contents($url); // Example blocking function

    $channel->send($data);

    return 'Any serializable data';
};

Parent Process

// parent.php

use Amp\Parallel\Context\ProcessContext;

// Creates and starts a child process or thread.
$context = Amp\Parallel\Context\contextFactory()->start(__DIR__ . '/child.php');

$url = 'https://google.com';
$context->send($url);

$requestData = $context->receive();
printf("Received %d bytes from %s\n", \strlen($requestData), $url);

$returnValue = $context->join();
printf("Child processes exited with '%s'\n", $returnValue);

Child processes or threads are also great for CPU-intensive operations such as image manipulation or for running daemons that perform periodic tasks based on input from the parent.

Context creation

An execution context can be created using the function Amp\Parallel\Context\startContext(), which uses the global ContextFactory. The global factory is an instance of DefaultContextFactory by default, but this instance can be overridden using the function Amp\Parallel\Context\contextFactory().

// Using the global context factory from Amp\Parallel\Context\contextFactory()
$context = Amp\Parallel\Context\startContext(__DIR__ . '/child.php');

// Creating a specific context factory and using it to create a context.
$contextFactory = new Amp\Parallel\Context\ProcessContextFactory();
$context = $contextFactory->start(__DIR__ . '/child.php');

Context factories are used by worker pools to create the context which executes tasks. Providing a custom ContextFactory to a worker pool allows custom bootstrapping or other behavior within pool workers.

An execution context can be created by a ContextFactory. The worker pool uses context factories to create workers.

A global worker pool is available and can be set using the function Amp\Parallel\Worker\workerPool(?WorkerPool $pool = null). Passing an instance of WorkerPool will set the global pool to the given instance. Invoking the function without an instance will return the current global instance.

IPC

A context is created with a single Channel which may be used to bidirectionally send data between the parent and child. Channels are a high-level data exchange, allowing serializable data to be sent over a channel. The Channel implementation handles serializing and unserializing data, message framing, and chunking over the underlying socket between the parent and child.

Note Channels should be used to send only data between the parent and child. Attempting to send resources such as database connections or file handles on a channel will not work. Such resources should be opened in each child process. One notable exception to this rule: server and client network sockets may be sent between parent and child using tools provided by amphp/cluster.

The example code below defines a class, AppMessage, containing a message type enum and the associated message data which is dependent upon the enum case. All messages sent over the channel between the parent and child use an instance of AppMessage to define message intent. Alternatively, the child could use a different class for replies, but that was not done here for the sake of brevity. Any messaging strategy may be employed which is best suited your application, the only requirement is that any structure sent over a channel must be serializable.

The example below sends a message to the child to process an image after receiving a path from STDIN, then waits for the reply from the child. When an empty path is provided, the parent sends null to the child to break the child out of the message loop and waits for the child to exit before exiting itself.

// AppMessage.php

class AppMessage {
    public function __construct(
        public readonly AppMessageType $type,
        public readonly mixed $data,
    ) {
    }
}
// AppMessageType.php

enum AppMessageType {
    case ProcessedImage;
    case ProcessImageFromPath;
    // Other enum cases for further message types...
}
// parent.php

use Amp\Parallel\Context\ProcessContextFactory;

$contextFactory = new ProcessContextFactory();
$context = $contextFactory->start(__DIR__ . '/child.php');

$stdin = Amp\ByteStream\getStdin();

while ($path = $stdin->read()) {
    $message = new AppMessage(AppMessageType::ProcessImageFromPath, $path);
    $context->send($message);

    $reply = $context->receive(); // Wait for reply from child context with p

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类编程语言
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