Posts tagged with concurrency
PHP Fibers, introduced in PHP 8.1, enable asynchronous programming by allowing functions to pause and resume execution. Here are some good examples on how to use them.
Read more [byteblog.medium.com]
A very nice technique to decrease concurrency and prevent deadlocks.
Read more [planetscale.com]
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Bugs caused by race conditions can be a huge source or frustration. They are difficult to identify and often difficult to remedy.
Read more [blog.frankdejonge.nl]
Our team released a new package called spatie/fork. Using this package you can easily execute multiple pieces of code concurrently.
Joe Watkins, core contributor and pthreads author, is working on a new threading API for PHP called parallel. It might be a while before it is released.
Recently, I set to work on a new threading API, named Parallel, it is not an exact clone of any existing threading API, it is an API focused on being simple and hiding the complexity inherent in utilising parallelism in your application, it is also focused on being forward compatible with the JIT, for that day when we can actually execute machine code in userland and in parallel.
https://blog.krakjoe.ninja/2019/02/parallel-php-next-chapter.html
EDIT: meanwhile a stable version has been released. You can find it in this repo on GitHub.
Recently I was working on a client project where a data import was performed via queues. Each record was imported in its own queued job using multiple queue workers. After the data import was done we had more rows than expected in the database. In this blogpost I'd like to explain why that happened.…
Tip: With async/await, you can run multiple async operations in parallel. How? Put the await statements on the same line! Works like promise.all. https://t.co/0aoAAvILmE#javascript pic.twitter.com/RMrXKp8D7V
— Cory House ???? (@housecor) November 13, 2017
Read more [twitter.com]
On his blog Frank De Jonge, member of the PHP League and creator of Flysystem, explains a cool pragmatic solution how to ensure queued processes for the same user complete in the right order.
The use of multiple workers allows for much higher throughput, but it also allows for race conditions during processing. When messages for the same user are sent to different workers, handling order can no longer be guaranteed. Therefore we have failed to fulfil our business rule.If we were able to ensure every message from the same user were sent to the same worker, the worker could ensure those messages are handled in order while the system as a whole would still benefit from the degree of parallelism. But how do we make this happen?
https://blog.frankdejonge.nl/parallelise-synchronous-business-processes/
Hannes Van De Vreken shows what awesome async things you can do with Guzzle promises.
Now what happens if you need to perform a large number of concurrent requests? If you don’t control the number of requests you might end up with a dangerously large amount of open TCP sockets to a server. You’ll need to use some sort of dispatching to have a limited number of concurrent requests at any given time.https://blog.madewithlove.be/post/concurrent-http-requests/Let’s show you how to do that.
Another great article by Maxime Fabre:
In this article I'm going to dive into the pthreads extension (short for POSIX Threads). It has been around for a while (since 2012) but I feel like too many people forget it exists or assume it is going to be painful to use – mostly because the official documentation is rather slim about it.http://blog.madewithlove.be/post/thread-carefully/
Be sure to check out his previous post on Webpack and Blackfire too.