PHPT VS PostgreSQL

In our latest story we show a couple of smart ways to get around some import conflicts in PHP.

The values [0, 15] represent 16 possible values, which is a power of 2.

The correct way to get an unbiased distribution from a sample of 2^x to a modulo that is not an even power of 2 is to use rejection sampling.

This is what RFC 6979 says to do https://datatracker.ietf.org/doc/html/rfc6979#section-3.2

But you can also see this technique in CSPRNG code; i.e. https://github.com/php/php-src/blob/d40726670fd2915dcd807673...

I am running this code on MacOS on Apple Silicon hardware which is crashing when using the JIT in a ZTS build of PHP, so the 1m 35s result is without JIT, it might be even faster if I could use it

49. PHP - $58,899

A little about me; I'm a web developer and have been for around 5 years, though I'd dabbled for years. I have experience with Perl and PHP but my day to day is JavaScript/TypeScript be it through NodeJS or ReactJS. I want to learn Rust for no specific reason other than it's fun to learn new things.

Consider a web application where requests are handled through NGINX as the web server and PHP as the dynamic backend language. Let’s say something in the application logic results in a fatal error or process termination. This doesn’t affect NGINX’s ability to serve a response to the client, which would most likely be an HTTP 503 - Service Unavailable message.

In the beginning, I used a technology called CGI to develop server applications written in Perl. This technology was later replaced by Microsoft’s ASP (Active Server Pages) and then PHP. PHP, which you may already know, is still powering over 77% of all the websites as of the time of writing (ever heard of WordPress?).

PHP

As Shopware is mostly based on the Symfony framework, which is in turn based on the PHP language, we should also consider learning about the basics, which will also be useful for other frameworks apart from Shopware, like Symfonycasts, symfony.com, php.net.

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

PostgreSQL