Production-Ready Beanstalkd with Laravel 4 Queues

Production-Ready Beanstalkd with Laravel 4 Queues

原文地址:http://fideloper.com/ubuntu-beanstalkd-and-laravel4

Note: TL;DR version at the bottom!

Queues are a great way to take some task out of the user-flow and put them in the background. Allowing a user to skip waiting for these tasks makes our applications appear faster, and gives us another opportunity to segment our application and business logic out further.

For example, sending emails, deleting accounts and processing images are all potentially long-running or memory-intensive tasks; They make great candidates for work which we can off-load to a queue.

Laravel can accomplish this with its Queue package. Specifically, I use the Beanstalkd work queue with Laravel.

Here’s how I set that up to be just about production-ready.

Note: I use Ubuntu for development and often in production. The following is accomplishsed in Ubuntu 12.04 Server LTS. Some instructions may differ for you depending on your OS

Here’s what we’ll cover:

  1. Laravel and Queues
  2. Installing Beanstalkd
  3. Churning through the queue with Supervisor

Laravel and Queues

Laravel makes using queues very easy. Our application, the "producer", can simply run something likeQueue::push('SendEmail', array('message' => $message)); too add a "job" to the queue.

On the other end of the queue is the code listening for new jobs and a script to process the job (collectively, the "workers"). This means that in addition to adding jobs to the queue, we need to set up a worker to pull from the stack of available jobs.

Here’s how that looks in Laravel. In this example, we’ll create an image-processing queue.

Install dependencies

As noted in the docs, Laravel requires the Pheanstalk package for using Beanstalkd. We can install this using Composer:

$ composer require pda/pheanstalk:dev-master

Create a script to process it

Once our PHP dependency in installed, we can begin to write some code. In this example, we’ll create aPhotoService class to handle the processing. If no method is specified, laravel assumes the class will have a fire() method. This is half of a worker – the code which does some processing.

<?php namespaceMyapp\Queue;classPhotoService{
    publicfunction fire($job, $data){
    // Minify, crop, shrink, apply filters or otherwise manipulate the image}}

Push a job to a Queue

When a user uploads an image, we’ll add a job to the queue so our worker can process it.

In Laravel, we’ll create a job by telling the Queue library what code will handle the job (in this case thefire() method inside of Myapp\Queue\PhotoService as defined above) and give it some data to work with. In our example, we simply pass it a path to an image file.

Queue::push('Myapp\Queue\PhotoService', array('image_path'=>'/path/to/image/file.ext'));

Process the jobs

At this point, we have code to process an image (most of a worker), and we’ve added a job to the queue. The last step is to have code pull a job from the queue.

This is the other half of a worker. The worker needs to both pull a job from the queue and do the processing. In Laravel, that’s split into 2 functionalities – Laravel’s queue listener, and the code we write ourselves – in this case, the PhotoService.

Laravel has some CLI tools to help with queues:

// Fire the latest job in the queue $ php artisan queue:work // Listen for new jobs in the queue// and fire them off one at a time// as they are created $ php artisan queue:listen

When not working with the “sync” driver, these tools are what you need to use in order to process the jobs in your queue. We run the queue:listen command to have laravel listen to the queue and pull jobs as they become available.

Let’s install Beanstalkd to see how that works.

By default, laravel will run queue jobs synchronously – that is, it runs the job at the time of creation. This means the image will be processed in the same request that the user created when uploading an image. That’s useful for testing, but not for production. We’ll make this asynchronous by introducing Beanstalkd.

Beanstalkd

Let’s install Beanstalkd:

# Debian / Ubuntu: $ sudo apt-get update $ sudo apt-get install beanstalkd

Note: You may be able to get a newer version of Beanstalkd by adding this PPA. Ubuntu 12.04 installs an older version of Beanstalkd.

Next, some quick configuration. The first thing we need to do is tell Beanstalkd to start when the system starts up or reboots. Edit /etc/default/beanstalkd and set START to “yes”.

$ sudo vim /etc/default/beanstalkd > START yes # uncomment

Then we can start Beanstalkd:

$ sudo service beanstalkd start # Alternatively: /etc/init.d/beanstalkd start

Now we can setup Laravel. In your app/config/queue.php file, set the default queue to ‘beanstalkd’:

'default'=>'beanstalkd',

Then edit any connection information you need to change. I left my configuration with the defaults as I installed it on the same server as the application.

'connections'=> array('beanstalkd'=> array('driver'=>'beanstalkd','host'=>'localhost','queue'=>'default',),),

Now when we push a job to the queue in Laravel, we’ll be pushing to Beanstalkd!

Installing Beanstalkd on a remote server

You may (read: should) want to consider installing Beanstalkd on another server, rather than your application server. Since Beantalkd is an in-memory service, it can eat up your servers resources under load.

To do this, you can install Beanstalkd on another server, and simply point your “host” to the proper server address, rather than localhost.

This leaves the final detail – what server runs the job? If you follow all other steps here, Supervisord will still be watching Laravel’s listener on your application server. You may want to consider running your job script (or even a copy of your application which has a job script) on yet another server whose job is purely to churn through Beanstalkd queue jobs. This means having a listener and working listener/job code on yet another server.

In fact, in a basic distributed setup, we’d probably have an application server (or 2, plus a load-balancer), a database server, a queue server and a job server!

Supervisord

Let’s say you pushed a job to Beanstalkd:

Queue::push('Myapp\Queue\PhotoService', array('image_path'=>'/path/to/image/file.ext'));

Now what? You might notice that it goes to Beanstalkd, but Myapp\Queue\PhotoService@fire() doesn’t seem to be getting called. You’ve checked your error logs, you see if the image was edited, and found that the the job is just “sitting there” in your Beanstalkd queue.

Beanstalkd doesn’t actually PUSH jobs to a script – instead, we need a worker to check if there are jobs available and ask for them.

This is what $ php artisan queue:listen does – It listens for jobs and runs them as they become available.

If you run that command, you’ll see your job being sent to code. If all goes well, your image will beproperly manipulated.

The question then becomes: How do I make php listen at all times? We need to avoid having to “supervise” that process manually. This is where Supervisord comes in.

Supervisord will watch our queue:listen command and restart it if it fails. Let’s see how to set that up.

First, we’ll install it:

# Debian / Ubuntu: $ sudo apt-get install supervisor

Next, we’ll configure it. We need to define a process to listen to.

$ sudo vim /etc/supervisor/conf.d/myqueue.conf

Add this to your new conf file, changing file paths and your environment as necessary:

[program:myqueue] command=php artisan queue:listen --env=your_environment directory=/path/to/laravel stdout_logfile=/path/to/laravel/app/storage/logs/myqueue_supervisord.log redirect_stderr=true

We now have a process called “myqueue” which we can tell Supervisord to start and monitor.

Let’s do that:

$ sudo supervisorctl > reread # Tell supervisord to check for new items in /etc/supervisor/conf.d/> add myqueue # Add this process to Supervisord> start myqueue # May say "already started"

Now the “myqueue” process is on and being monitored. If our queue listener fails, Supervisord will restart the php artisan queue:listen --env=your_environment process.

You can check that it is indeed running that process with this command:

$ ps aux | grep php # You should see some output like this: php artisan queue:listen --env=your_environment sh -c php artisan queue:work --queue="default"--delay=0--memory=128--sleep --env=your_environment php artisan queue:work --queue=default--delay=0--memory=128--sleep --env=your_environment

Wrapping up

Now we have a full end-to-end queue working and in place!

  1. We create a script to process a queued job
  2. We installed Beanstalkd to act as the work queue
  3. We use Laravel to push jobs to our queue
  4. We use Laravel queue:listen to act as a worker and pull jobs from the queue
  5. We wrote some code to process a job from the queue
  6. We use Supervisord to ensure queue:listen is always listening for new jobs

Notes

  1. You might want to consider setting up log rotation on the Laravel and Supervisord logs
  2. You can read here for more information on setting up Supervisord on Ubuntu.
  3. Read the Laravel docs on queues to learn how and when to release or delete jobs.

TL;DR

For reference, just copy and paste the whole process from here:

$ sudo apt-get update $ sudo apt-get install -y beanstalkd supervisor $ sudo vim /etc/default/beanstalkd > START yes # uncomment this line $ sudo service beanstalkd start $ sudo vim /etc/supervisor/conf.d/myqueue.conf

Enter this, changing as needed:

[program:myqueue] command=php artisan queue:listen --env=your_environment directory=/path/to/laravel stdout_logfile=/path/to/laravel/app/storage/logs/myqueue_supervisord.log redirect_stderr=true

Start Supervisord:

$ sudo supervisorctl > reread # Get available jobs> add myqueue > start myqueue

Read more on Supervisord here for info on supervisorctl.

 

另外还有一篇相关的不错的文章:http://www.lornajane.net/posts/2014/working-with-php-and-beanstalkd

转载于:https://www.cnblogs.com/argb/p/3729084.html

版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请联系我们举报,一经查实,本站将立刻删除。

发布者:全栈程序员-站长,转载请注明出处:https://javaforall.net/109830.html原文链接:https://javaforall.net

(0)
全栈程序员-站长的头像全栈程序员-站长


相关推荐

  • 解决Please make sure you have the correct access rights and the repository exists 问题.

    解决Please make sure you have the correct access rights and the repository exists 问题.问题:Pleasemakesureyouhavethecorrectaccessrightsandtherepositoryexists请确保您具有正确的访问权限并且存储库存在原因:公钥出问题了,需要删除.ssh下文件,然后重设置用户名和邮箱再重新生成ssh公钥即可解决解决:步骤一:删除.ssh下所有所有文件步骤二:1.设置用户名gitconfig–globaluser.name‘zhandehu…

    2022年7月27日
    9
  • Hbase面试题(持续更新)「建议收藏」

    Hbase面试题(持续更新)「建议收藏」1、每天百亿数据存入HBase,如何保证数据的存储正确和在规定的时间里全部录入完毕,不残留数据1)百亿数据:证明数据量非常大2)存入HBase:证明是跟HBase的写入数据有关3)保证数据的正确:要设计正确的数据结构保证正确性4)在规定时间内完成:对存入速度是有要求的那么针对以上的四个问题我们来一一分析1)数据量百亿条,什么概念呢?假设一整天60x60x24=86400秒都在写入数据,那么每秒的写入条数高达100万条,HBase当然是支持不了每秒百万条数据的,所以这百亿条数据可能不是通过实时

    2022年5月31日
    39
  • .NET Core 的Generic Host 之Generic Host Builder

    .NET Core 的Generic Host 之Generic Host Builder通用Host(GenericHost)与webHost不同的地方就是通用Host解耦了Http请求管道,使得通用Host拥有更广的应用场景。比如:消息收发、后台…

    2022年10月12日
    5
  • idea 2022 3.2激活码[最新免费获取]「建议收藏」

    (idea 2022 3.2激活码)这是一篇idea技术相关文章,由全栈君为大家提供,主要知识点是关于2021JetBrains全家桶永久激活码的内容IntelliJ2021最新激活注册码,破解教程可免费永久激活,亲测有效,下面是详细链接哦~https://javaforall.net/100143.html1M2OME2TZY-eyJsaWN…

    2022年3月13日
    153
  • Java中父类引用指向子类对象好处

    Java中父类引用指向子类对象好处比如对于 HashMap 与 Map 的理解 HashMap 是 Map 接口的常用实现类 Map 是一个接口 是一个键值对集合 建议使用实现接口的方式使用 Map 如 Map String Object parameters newHashMap lt gt 不建议这样 HashMap String Object parameters newHa String Object String Object

    2025年7月9日
    7
  • 行存储和列存储的优缺点

    行存储和列存储的优缺点按行存储:数据按行存储在底层文件系统中,通常,每一行会被分配固定的空间优点:有利于增加、修改整行记录等操作,有利于整行数据的读取操作缺点:单列查询时,会读取一些不必要的数据按列存储:数据以列为单位,存储在底层文件系统中优点:有利于面向单列数据的读取/统计等操作缺点:整行读取时,可能需要多次I/O操作…

    2022年7月14日
    27

发表回复

您的邮箱地址不会被公开。 必填项已用 * 标注

关注全栈程序员社区公众号