Package Data | |
---|---|
Maintainer Username: | mnapoli |
Package Create Date: | 2019-02-07 |
Package Last Update: | 2024-11-03 |
Home Page: | https://bref.sh/docs/frameworks/laravel.html |
Language: | PHP |
License: | MIT |
Last Refreshed: | 2024-12-17 03:06:10 |
Package Statistics | |
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Total Downloads: | 2,237,567 |
Monthly Downloads: | 87,274 |
Daily Downloads: | 3,603 |
Total Stars: | 325 |
Total Watchers: | 16 |
Total Forks: | 64 |
Total Open Issues: | 30 |
Package to use Laravel on AWS Lambda with Bref.
This package provides the following benefits:
You can read the Bref documentation for Laravel for more documentation.
In any case, it is recommended to first learn about serverless, AWS Lambda and Bref before using this package.
composer require bref/laravel-bridge
The Bref\LaravelBridge\BrefServiceProvider
service provider will be registered automatically.
You can now create a default serverless.yml
at the root of your project by running:
php artisan vendor:publish --tag=serverless-config
The application is now ready to be deployed:
serverless deploy
This package lets you process jobs from SQS queues on AWS Lambda by integrating with Laravel Queues and its job system. A deployable example is available in the bref-laravel-sqs-demo repository.
For example, given a ProcessPodcast
job:
<?php declare(strict_types=1);
namespace App\Jobs;
use Illuminate\Bus\Queueable;
use Illuminate\Contracts\Queue\ShouldQueue;
use Illuminate\Foundation\Bus\Dispatchable;
use Illuminate\Queue\InteractsWithQueue;
use Illuminate\Queue\SerializesModels;
class ProcessPodcast implements ShouldQueue
{
use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;
/** @var int */
private $podcastId;
public function __construct(int $podcastId)
{
$this->podcastId = $podcastId;
}
public function handle(): void
{
// process the job
}
}
We can dispatch this job to SQS just like any Laravel job:
ProcessPodcast::dispatch($podcastId);
The job will be pushed to SQS. Now, instead of running the php artisan queue:work
command, SQS will directly trigger our handler on AWS Lambda to process our job immediately.
To create the SQS queue (and the permissions for your Lambda to read/write to it), you can either do that manually, or use serverless.yml
.
Here is a complete example with serverless.yml
that creates the queue, as well as sets up the permissions:
provider:
...
environment:
APP_ENV: production
SQS_QUEUE: !Ref AlertQueue
# If you create the queue manually, the `SQS_QUEUE` variable can be defined like this:
# SQS_QUEUE: https://sqs.us-east-1.amazonaws.com/your-account-id/my-queue
iamRoleStatements:
# Allows our code to interact with SQS
- Effect: Allow
Action: [sqs:SendMessage, sqs:DeleteMessage]
Resource: !GetAtt AlertQueue.Arn
functions:
...
worker:
handler: worker.php
layers:
- ${bref:layer.php-73}
events:
# Declares that our worker is triggered by jobs in SQS
- sqs:
arn: !GetAtt AlertQueue.Arn
# If you create the queue manually, the line above could be:
# arn: 'arn:aws:sqs:us-east-1:1234567890:my_sqs_queue'
# Only 1 item at a time to simplify error handling
batchSize: 1
resources:
Resources:
# The SQS queue
AlertQueue:
Type: AWS::SQS::Queue
Properties:
RedrivePolicy:
maxReceiveCount: 3 # jobs will be retried up to 3 times
# Failed jobs (after the retries) will be moved to the other queue for storage
deadLetterTargetArn: !GetAtt DeadLetterQueue.Arn
# Failed jobs will go into that SQS queue to be stored, until a developer looks at these errors
DeadLetterQueue:
Type: AWS::SQS::Queue
Properties:
MessageRetentionPeriod: 1209600 # maximum retention: 14 days
As you can see in the provider.environment
key, we define the SQS_QUEUE
environment variable. This is how we configure Laravel to use that queue.
If you want to create the SQS queue manually, you will need to set that variable either via serverless.yml
or the .env
file.
Watch out: in the example above, we set the full SQS queue URL in the SQS_QUEUE
variable. If you set only the queue name (which is also valid), you will need to set the SQS_PREFIX
environment variable too.
First, you need to configure Laravel Queues to use the SQS queue.
You can achieve this by setting the QUEUE_CONNECTION
environment variable to sqs
:
# .env
QUEUE_CONNECTION=sqs
AWS_DEFAULT_REGION=us-east-1
Note that on AWS Lambda, you do not need to create AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
variables: these access keys are created automatically by Lambda and available through those variables. There is, however, one thing missing: the AWS_SESSION_TOKEN
variable is not taken into account by Laravel by default (comment on this issue if you want this fixed). In the meantime, edit config/queue.php
to add this line:
'sqs' => [
'driver' => 'sqs',
'key' => env('AWS_ACCESS_KEY_ID'),
'secret' => env('AWS_SECRET_ACCESS_KEY'),
+ 'token' => env('AWS_SESSION_TOKEN'),
'prefix' => env('SQS_PREFIX', 'https://sqs.us-east-1.amazonaws.com/your-account-id'),
Next, create a worker.php
file. This is the file that will handle SQS events in AWS Lambda:
<?php declare(strict_types=1);
use Bref\LaravelBridge\Queue\LaravelSqsHandler;
use Illuminate\Foundation\Application;
require __DIR__ . '/vendor/autoload.php';
/** @var Application $app */
$app = require __DIR__ . '/bootstrap/app.php';
$kernel = $app->make(Illuminate\Contracts\Console\Kernel::class);
$kernel->bootstrap();
return $app->makeWith(LaravelSqsHandler::class, [
'connection' => 'sqs', // this is the Laravel Queue connection
'queue' => getenv('SQS_QUEUE'),
]);
You may need to adjust the connection
and queue
options above if you customized the configuration in config/queue.php
. If you are unsure, have a look at the official Laravel documentation about connections and queues.
That's it! Anytime a job is pushed to the SQS queue, SQS will invoke worker.php
on AWS Lambda and our job will be executed.
The SQS + Lambda integration already has a retry mechanism (with a dead letter queue for failed messages). This is why those mechanisms from Laravel are not used at all. These should instead be configured on SQS (by default, jobs are retried in a loop for several days). An example on how to configure SQS is available in the example repository.
For those familiar with Lambda, you may know that batch processing implies that any failed job will mark all the other jobs of the batch as "failed". However, Laravel manually marks successful jobs as "completed" (i.e. those are properly deleted from SQS).